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Qualifications
Proven experience with data engineering tools and technologies, such as SQL, Python, or Scala. Strong understanding of data warehousing solutions and ETL processes. Experience with cloud platforms (e.g., AWS, Google Cloud) is a plus. Excellent problem-solving skills and attention to detail. Ability to work independently and collaboratively in a fast-paced environment.
About the job
As a Data Engineer at dev2, you will play a pivotal role in designing, building, and maintaining data pipelines that enable our teams to make data-driven decisions. You will work closely with data scientists and analysts to ensure the data infrastructure is robust and scalable.
Your responsibilities will include optimizing data flow, ensuring data quality, and implementing best practices in data management. This is an exciting opportunity to be part of a forward-thinking company that values innovation and creativity.
About dev2
dev2 is a leading technology firm based in London, dedicated to pushing the boundaries of innovation. Our team is passionate about utilizing data to drive business solutions and enhance decision-making processes. We foster a collaborative and inclusive work environment that empowers our employees to excel.
Who are we?Smarkets: Shaping the Future of BettingAt Smarkets, we operate one of the most advanced prediction markets globally, with a staggering £29 billion in volume processed since our inception in 2010. Our platform engages over 200,000 traders worldwide, revolutionizing betting across various sectors, including sports and political markets, by providing…
Join Our Team as a DevOps Engineer!Smarkets is at the forefront of revolutionizing the betting industry, offering one of the most sophisticated prediction markets globally. With over £29 billion in volume traded since 2010 and a community of more than 200,000 traders, we are committed to delivering exceptional value through innovative technology.Our technology stack is built for scalability, reliability, and speed, utilizing Linux, Kafka, Postgres, Kubernetes, alongside Python 3, C++17, and React. We focus on creating robust infrastructure that not only meets institutional demands but also makes trading accessible to all. Our resilience through market fluctuations and industry changes sets us apart.We pride ourselves on our people and foster a high-performance environment where talent can flourish. Our team combines extensive business knowledge with a commercial approach to drive strategic growth.If you're passionate about shaping the future of prediction markets with cutting-edge technology and a customer-centric mindset, Smarkets is the right place for you!Role OverviewAs a key member of our DevOps Infrastructure Team, you will help build and maintain real-time distributed systems that drive our trading engine—ensuring they remain operational, ultra-low latency, and resilient on a large scale.This role is not just about infrastructure; you will enhance platform capabilities that simplify how our engineers build, test, deploy, and manage applications across our hybrid environment, which includes both self-hosted hardware and AWS cloud infrastructure.In this pivotal position, you will blend DevOps with platform engineering, playing a critical role in our mission.Your ResponsibilitiesPlatform Enablement: Design and sustain internal tools and workflows that enhance the developer experience within deployment pipelines, observability, and testing settings.Empower Developers (DevEx): Automate processes, optimize CI/CD pipelines (Jenkins, GitLab), and ensure safe, fast, and reliable deployments across various environments.Infrastructure Automation: Develop, manage, and scale Kubernetes-based microservices infrastructure on AWS using Terraform and Infrastructure-as-Code methodologies.Developer Experience: Collaborate closely with product engineers to create seamless paths for development, testing, and deployment.Operational Excellence: Monitor, troubleshoot, and maintain the stability of our systems through robust alerting and incident response strategies.
At Smarkets, we are constantly seeking exceptional engineers who are passionate about the challenges we face. If you are excited to contribute to innovative solutions and have relevant skills and experience, we invite you to apply. We eagerly await your application!We are recruiting for various levels, including mid and senior positions.About UsSmarkets: Pioneering the Future of BettingSmarkets operates one of the globe's most advanced prediction markets, processing over £29 billion in transactions since our inception in 2010, with a community of over 200,000 traders worldwide. As a technology-driven company, we are transforming the betting landscape across sports and political markets by offering competitive prices and equitable odds.Our technology stack is meticulously designed for scalability, reliability, and speed, utilizing Linux, Kafka, Postgres, Kubernetes, alongside Python 3, C++17, and React to power our platform. We build infrastructure that institutions can rely on while making trading accessible for everyone. Our resilience is demonstrated by thriving through various market cycles and industry transformations.The core of our success lies in our team. We cultivate a high-performance environment that enables exceptional talent to excel, merging profound business acumen with a commercial outlook to foster strategic growth.If you are ready to influence the future of prediction markets through innovative technology and a customer-centric approach, Smarkets is your ideal workplace.The PositionAs a Mid-Level Software Engineer in our Engineering organization, you will be instrumental in designing, developing, and maintaining the services that underpin Smarkets' business operations products. You will collaborate closely with engineering managers, technical leaders, and product managers to steer complex technical initiatives aligned with the Smarkets product roadmap.We are searching for skilled and enthusiastic engineers like you for a thrilling opportunity to create a cohesive and high-performing system that not only optimizes our services but also propels Smarkets to unparalleled levels of success.We prioritize using the most effective tools for each task. Our tech stack includes Rust for high-performance operations and Python for other functionalities. Our Kafka pub/sub message queue is central to our system, ensuring high availability, low latency, and message persistence. We provide gRPC and HTTP APIs for diverse metadata, while PostgreSQL and ElasticSearch are our preferred databases.Key Responsibilities:Design, implement, and maintain complex systems and applications that support Smarkets' operations.Work collaboratively with cross-functional teams to define project goals and deliverables.Participate in code reviews, architecture discussions, and technical planning.Continuously improve code quality, software robustness, and performance.
Join Us at Smarkets!Leading the Future of BettingAt Smarkets, we operate one of the most advanced prediction markets in the world, with over £29 billion in transaction volume since our inception in 2010. Our platform attracts over 200,000 traders from around the globe, transforming the betting landscape across sports and political events by offering the most competitive prices and fair odds.Our technology stack is tailored for scalability, reliability, and performance, utilizing Linux, Kafka, Postgres, and Kubernetes, powered by Python 3, C++17, and React. We build infrastructure that businesses rely on while ensuring trading remains accessible to everyone. We've demonstrated resilience through every market phase, competition, and industry upheaval.The key to our success lies in our people. We foster a high-performance environment where top talent flourishes, merging extensive business acumen with a commercial approach to propel strategic growth.If you are ready to contribute to the evolution of prediction markets with innovative technology and a client-centric mindset, Smarkets is the perfect place for you.We are currently seeking a Senior Cloud Infrastructure Engineer to enhance our infrastructure and equip our developers with efficient, self-service tools and operational excellence.Your RoleAs a member of the Cloud Infrastructure Team, you will engage with real-time distributed systems that fuel our trading engine. Your primary responsibility will be to design and maintain scalable, secure, and high-performance cloud-based systems while developing platforms that enable our developers to operate quickly, deploy reliably, and scale seamlessly.This role is not just about creating cloud infrastructure; it's about fostering a highly autonomous environment where ownership is encouraged, experimentation is welcomed, and innovation is integral to our operations. You will define the foundation of our cloud-native architecture, harmonizing visionary infrastructure design with the practical demands of a rapidly growing, large-scale environment.This position is where infrastructure intersects with engineering productivity: part DevOps, part Platform Engineering, and 100% essential to our mission.Your ResponsibilitiesDesign and Own Infrastructure: Architect and maintain robust, cost-effective, and secure infrastructure on AWS using Terraform, Kubernetes, and cloud-native best practices.Champion Platform Engineering: Develop and enhance the internal developer platform (IDP) that empowers engineers to self-serve infrastructure, CI/CD, observability, and security tooling.
About UsSmarkets: Revolutionizing the Betting IndustryAt Smarkets, we operate one of the most advanced prediction markets worldwide, with over £29 billion processed since our inception in 2010. With a community of over 200,000 traders globally, we are redefining betting across various domains, from sports to political markets, ensuring the most competitive prices and fair odds.Our technology stack is meticulously crafted for scalability, reliability, and speed, utilizing Linux, Kafka, Postgres, Kubernetes, along with Python 3, C++17, and React. We build the infrastructure that institutions rely on while making trading accessible to all. Our resilience has allowed us to thrive through every market cycle and industry evolution.Central to our success are our talented team members. We foster a high-performance environment where exceptional skills flourish, combining in-depth business acumen with a commercial outlook to fuel strategic growth.If you are excited about shaping the future of prediction markets with cutting-edge technology and a focus on customer satisfaction, Smarkets is the perfect place for you.Your RoleWe are seeking a highly skilled Staff Engineer to spearhead our engineering initiatives in a senior individual contributor capacity, directly reporting to the VP of Engineering. As the most senior technical individual contributor in the organization, you will be instrumental in guiding our technology stack and fostering innovation across various teams.Key Responsibilities:Serve as a senior technical authority, offering strategic direction and hands-on assistance for impactful projects while advancing the engineering roadmap.Collaborate with the VP of Engineering to optimize our tech stack and enhance development methodologies.Work in tandem with frontend and backend teams to architect scalable and reliable microservices using Rust, Python, and Typescript.Enhance service latency and performance across PostgreSQL, Redis, and Kafka-based systems.Facilitate the deployment of CI/CD, monitoring, and alerting frameworks to maintain system health and performance.Promote engineering best practices and contribute to a culture of collaboration, continuous learning, and innovation.Influence and cultivate a top-tier engineering culture.Identify innovation opportunities to drive business value and sustain a competitive advantage.About You:Proven experience in software engineering, with a solid foundation in computer science principles.Expertise in Rust, Python, and Typescript is highly desirable.Strong problem-solving skills and a passion for innovation.Excellent communication and collaboration abilities.Ability to lead and mentor junior engineers.
About Us:Smarkets: Shaping the Future of BettingSmarkets operates one of the globe's most advanced prediction markets, processing over £29 billion in transactions since 2010 and connecting over 200,000 traders worldwide. As a technology-driven enterprise, we are transforming the betting landscape—spanning sports, political markets, and delivering the most competitive prices and fair odds.Our technology stack is engineered for scalability, reliability, and speed, featuring Linux, Kafka, Postgres, and Kubernetes, with Python 3, C++17, and React powering our platform. We develop infrastructure that institutions depend on while ensuring trading remains accessible to all. Our unique advantage lies in our resilience through market fluctuations, competition, and industry transformations.At the core of our success are our talented individuals. We foster a high-performance culture where exceptional talent flourishes, combining extensive business insight with a commercial outlook to drive strategic expansion.If you are eager to influence the future of prediction markets with state-of-the-art technology and a customer-centric approach, Smarkets is the right place for you.Role Overview:As the Engineering Team Lead, you will spearhead a team of software engineers responsible for building, managing, and maintaining the microservices that power Smarkets' innovative products.Your role will involve steering the team's direction, nurturing their professional development, and ensuring we are constructing the optimal stack to drive our product's future. You will leverage your team's capabilities to ensure our services remain responsive, scalable, and high-performing.You will collaborate closely with your engineering team, fellow engineering managers, technical leaders, and product managers to propel the intricate technical projects that advance the Smarkets product roadmap.
About YouLendYouLend is an innovative and rapidly expanding FinTech company, recognized as the leading embedded financing platform for top-tier e-commerce platforms, technology firms, and Payment Service Providers. Our cutting-edge software empowers partners to enhance their offerings by providing customized financing solutions to their merchants under their own branding, all while mitigating capital risk.Backed by EQT, a prominent Private Equity firm, YouLend has achieved remarkable growth, exceeding 100% year-over-year since 2020. Based in London, we also operate across various European countries and the United States, serving renowned partners such as eBay, Amazon, Just Eat, Shopify, and Stripe.Position OverviewWe are on the lookout for a Data Engineer to become an integral part of our expanding Data Engineering & Platform team. This role is pivotal, bridging infrastructure, DevOps, and advanced data tools, with a primary focus on facilitating rapid, secure, and scalable analytics. You will play a crucial role in constructing and scaling a premier data platform that supports a wide array of functions, including dashboards, experimentation, machine learning, and compliance.Key Responsibilities:Develop and oversee the infrastructure for our data platform, utilizing technologies such as AWS, Snowflake, dbt, and Airflow.Design and execute CI/CD pipelines for dbt and various data workflows.Automate data platform operations using Python and infrastructure-as-code tools like Pulumi and Terraform.Collaborate with analytics, machine learning, product, and engineering teams to enhance data solutions.Maintain data quality, lineage, and governance through rigorous testing and monitoring.Utilize cost observability tools to promote efficient platform usage.Qualifications:The ideal candidate will possess the following qualifications:Demonstrable experience with cloud-based data platforms such as Snowflake, Redshift, or BigQuery.Strong proficiency in Python and SQL for automation and analytics purposes.Familiarity with CI/CD processes, particularly in dbt or similar data platforms.Practical experience with Infrastructure as Code (IaC) tools including Pulumi, Terraform, or CloudFormation.Solid understanding of orchestration tools like Airflow.Exceptional communication skills with a history of cross-functional collaboration.Desirable Skills:Experience with AWS services (S3, Lambda, MWAA) and Azure DevOps.Familiarity with monitoring tools such as DataDog.Why Choose YouLend?Recognized as one of the “Best Places to Work in 2024”, YouLend offers a dynamic workplace environment.
As a Data Engineer at dev2, you will play a pivotal role in designing, building, and maintaining data pipelines that enable our teams to make data-driven decisions. You will work closely with data scientists and analysts to ensure the data infrastructure is robust and scalable.Your responsibilities will include optimizing data flow, ensuring data quality, and implementing best practices in data management. This is an exciting opportunity to be part of a forward-thinking company that values innovation and creativity.
Join our dynamic team at OctoEnergy as a Data Engineer, where you will play a pivotal role in transforming data into actionable insights. We are seeking a motivated and innovative individual who thrives on tackling complex challenges and delivering high-quality solutions.
ASOS Plc seeks a Data Engineer in London to support data processing and analytics for its online fashion platform. This role centers on improving how data is managed and used across the company. Role overview The Data Engineer will work with modern data technologies, contributing to projects that influence data-driven decisions throughout the business. The position involves collaborating with teams to strengthen data workflows and ensure reliable analytics. Location This is a London-based role, working onsite with ASOS Plc's technology and analytics teams.
About SwapAt Swap, we are revolutionizing modern commerce with our unique AI-native platform that seamlessly integrates backend operations with an innovative storefront experience. Our solution is designed for brands aspiring to sell anything, anywhere, by centralizing global operations and enabling intelligent workflows. With real-time data and capabilities, our products cover cross-border transactions, tax management, returns, demand planning, and our state-of-the-art agentic storefront. This empowers merchants with complete transparency and the confidence to make informed decisions.We are fostering a culture at Swap that emphasizes clarity, creativity, and a shared sense of ownership as we redefine the landscape of global commerce.About the RoleWe are seeking enthusiastic, detail-oriented, and adaptable Data Engineers to join our platform team during an exciting phase of growth. This role is ideal for proactive engineers who thrive in dynamic environments and are eager to take charge, contribute significantly, and collaborate closely with product teams.In this pivotal position, you will play a key role in designing, optimizing, and scaling our premier data platform, which fuels our advanced customer-facing agentic systems. You will engage proactively with Product Managers and stakeholders to advocate for best practices, ensuring our platform remains robust and poised for future advancements.This hands-on builder role is suited for knowledgeable and enthusiastic team players excited about the opportunity to accelerate and expand a greenfield platform.Key ResponsibilitiesData Pipeline Engineering: Develop, optimize, and sustain comprehensive end-to-end data pipelines for essential business operations. Prioritize low latency, strong observability, and effective alerting for batch and stream processing to guarantee data reliability.API Development: Support the design and implementation of new features within the API layer, collaborating with product teams to ensure efficient data access.Platform Contribution: Own specific components of the data platform, actively contributing technical enhancements for scalability, future readiness, and alignment with Swap's long-term product strategy.Data Quality & Governance: Implement and advocate for best practices in data quality to ensure the data's integrity and reliability.What We Would Like to SeeA minimum of 3 years of experience in data engineering or related roles, demonstrating a strong understanding of data systems.Proficiency in programming languages such as Python, Java, or Scala.Experience with cloud platforms such as AWS, Azure, or Google Cloud.Strong problem-solving skills and a passion for data-driven decision-making.
About Tilt At Tilt, we are on a mission to Make Commerce Alive. Our platform revolutionizes the traditional e-commerce landscape, moving away from outdated website builders and faceless marketplaces to create vibrant, community-driven experiences for the new generation of merchants. With millions of engaged shoppers across the UK, from sneaker enthusiasts to collectors, Tilt empowers sellers to achieve remarkable earnings, often exceeding £1M. We are just getting started!Your Mission As our Lead Data Engineer, you will take charge of shaping and advancing our comprehensive data platform. This is a hands-on role with significant ownership where you will oversee the architecture, reliability, and scalability of our data warehouse and analytics stack. Your expertise will help refine our existing systems, including Snowflake, Dagster, dbt, Postgres, Metabase, and ContextFlow, while establishing standards for intelligent growth. We seek an individual who not only writes SQL but deeply understands data, thinks critically, and designs enduring systems.What You’ll Do 0–3 monthsGain an in-depth understanding of our Snowflake warehouse architectureAudit and enhance existing dbt models for clarity and performanceStabilize and review Dagster orchestration pipelinesIdentify data quality gaps and implement rigorous testing standardsEnsure key dashboards in Metabase are based on reliable datasetsDocument current systems and define architectural standards3+ monthsRedesign and optimize warehouse architecture where necessaryImplement scalable data modeling patterns across various domainsEnhance cost efficiency and performance in SnowflakeIntroduce advanced observability, testing, and lineage practicesEnable AI and product features by structuring high-quality, production-ready datasetsEstablish clear version control and deployment workflows for data changesCollaborate with product and engineering teams to define data contracts and ownership
Abound is changing how consumer lending works in the UK and beyond. By combining AI with Open Banking data, the company offers personal finance options that go beyond traditional credit scores. Each applicant is evaluated based on real financial habits and repayment history, aiming for fairer access to credit. Since launch, Abound has issued over £1.3bn in loans and kept default rates well below industry averages. Profitability came within 2.5 years. With more than £2bn in investment from Citi, GSR Ventures, Deutsche Bank, and others, Abound is recognized as one of Europe's fastest-growing fintechs. As the company expands into new markets and products, it seeks people eager to learn, take ownership, and grow alongside the team. Role overview The Data Engineer will join the Platform team in London, focusing on the development and improvement of Abound’s Data Lake. This position acts as a connector between Platform and Data Science, maintaining the infrastructure and data pipelines that drive decision-making across the business. The role is individual contributor level, offering autonomy and the chance to make a measurable impact. Main focus for the first 6–12 months Upgrade the Data Lake into a scalable, high-performance platform for analytics and data science. Migrate production workloads, including model calibration, ad-hoc analytics, and reporting, into the Data Lake. Redesign data structures to improve query speed, lower AWS costs, and ensure timely data availability. Collaborate closely with the Data Science team to support rapid experimentation and delivery through reliable data systems. Technology stack Cloud & Compute: AWS, ECS Fargate, AWS Lambda Databases & Data Lake: Aurora (PostgreSQL, MySQL), Athena, DMS, Glue, Iceberg Languages & Infrastructure as Code: Python, Spark, SQL Observability & Tooling: Amazon Managed Prometheus (AMP), incident.io, GitLab
About The Dot CollectiveAt The Dot Collective, we are a forward-thinking consultancy operating across the UK and EU, dedicated to engineering excellence and empowering individuals to create significant impact.Our team utilizes the latest technology stacks and embraces agile scrum methodologies for all our projects.About YouAre you driven by a passion for data and its transformative potential? Do you thrive on making a substantial difference in a short time frame? If so, we may be the perfect fit for you.
Join Our Team! Contentful is seeking a Senior Data Engineer to play a pivotal role in designing, developing, and scaling advanced data solutions that drive analytics, operational reporting, and strategic decision-making within our organization. You will collaborate closely with our data, analytics, and business teams to create robust data pipelines, models, and integrations that ensure clean, reliable, and actionable data. You will be an integral part of a small, geographically diverse engineering team that operates with a product mindset—delivering iterative value while partnering closely with business and analytics stakeholders, and taking ownership of both the development and operational aspects of a critical data platform. Your Responsibilities Design, build, and maintain scalable data pipelines and transformations that integrate multiple systems and sources. Create high-quality data models that cater to analytics, reporting, and operational use cases. Collaborate with analytics, product, and business teams to identify data needs and translate them into effective technical solutions. Establish and enforce strong data quality, validation, and monitoring protocols to ensure the reliability and trustworthiness of our data. Optimize data storage, processing, and performance within cloud data warehousing environments. Contribute to the ongoing improvement of our modern data platform, including tooling, standards, and best practices. Support the operations of the data platform by troubleshooting issues, enhancing reliability, and ensuring SLAs are consistently met. Engage with cross-functional partners on governance, documentation, definitions, and data stewardship. Implement CI/CD practices and Infrastructure-as-Code (IaC) for automated deployment, testing, and environment management. Participate in code reviews, design discussions, and operational on-call rotations as required. Mentor team members and promote data engineering best practices across the organization. Your Skills and Experience Essential Qualifications 5+ years of experience in a Data Engineering or similar technical role. Expertise in SQL and experience working with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery). Experience in building and maintaining ETL/ELT pipelines using tools such as dbt, Airflow, or similar frameworks. Proficiency in Python or another scripting language. Strong understanding of data modeling, data structures, and modern data architecture principles.
Join Eucalyptus as a Data Engineer and play a pivotal role in transforming data into actionable insights. We are looking for innovative thinkers who are passionate about data architecture and analytics. You will work closely with cross-functional teams to design, build, and maintain scalable data pipelines that drive strategic business decisions.
About the RoleJane Street is seeking a skilled Data Engineer to enhance our understanding, management, and dissemination of data that informs our trading strategies. At Jane Street, the ability to comprehend and manipulate data accurately is fundamental to our operations.In this role, you will utilize a combination of proprietary and open-source tools to analyze diverse datasets, identifying anomalies, ensuring consistency in formats and symbologies, automating ETL processes, and ultimately simplifying the process for our traders to derive insightful conclusions.We are looking for someone who is passionate about diving deep into data and articulating findings to various stakeholders, collaborating closely with traders and software engineers.While familiarity with financial data is beneficial, we do not require a financial background. We are eager to hire talented engineers and provide the necessary training.
Join Our Journey Welcome to Zopa! Founded in 2005, Zopa pioneered peer-to-peer lending and has since evolved, launching Zopa Bank in 2020. Our mission is to transform the banking experience by prioritizing customer needs and redefining financial services. We empower our team and customers to challenge the norms and aim high. Discover our innovative offerings at Zopa.com!We take pride in our accomplishments and our outstanding team, which has propelled us to be recognized as one of the UK’s Most Loved Workplaces.At Zopa, we welcome those who thrive on unconventional challenges and are eager to make a significant impact. Follow us on Instagram @zopalife to see our culture in action!About the Team:The Data Engineering team is essential in designing, constructing, and managing the intricate data pipelines vital to our bank's operations. We leverage a blend of software engineering, data analytics, and operational skills while collaborating with various teams to tackle diverse and complex challenges. Our culture values teamwork, practicality, and continuous learning over individual accomplishments.This role offers you the opportunity to join Zopa’s Data Engineering team at a pivotal moment of growth and advancement. You will be instrumental in developing and enhancing the data platforms that drive decision-making throughout the bank, from customer behavior insights to critical applications like fraud detection, where every moment counts.
Full-time|$1K/yr - $1K/yr|On-site|London, United Kingdom
Join Us in Shaping the Future of Blockchain IntelligenceAt Elliptic, we are pioneering the intelligence framework for the future of finance. Our dedicated teams are committed to transforming intricate blockchain and off-chain data into actionable insights, equipping financial institutions, regulators, and businesses with the confidence to innovate. Our mission is to make digital-asset intelligence seamlessly accessible, as we design and scale the data streams and services that drive Elliptic’s analytics and decision-making products.As a Data Engineer, you will architect and optimize systems that process vast blockchain and off-chain datasets, facilitating organizations across the globe in making informed, data-driven decisions.Your role will involve engaging with platform-focused teams or those directly handling product data, as you tackle challenges related to batch and streaming processing while developing high-quality, scalable solutions in a rapidly changing ecosystem.
About the RoleJoin Teza Technologies as a Data Engineer in our dynamic data team, where data is the heartbeat of our systematic trading and vital to every facet of our operations.This hands-on role within a growing team of data engineers offers significant potential for career advancement, as we anticipate rapid growth over the coming years. We seek candidates with exceptional technical expertise, meticulous attention to detail, and a proven track record in architecting and developing robust data platforms.LocationHybrid role based in London, UK, with a requirement of 3 days in-office each week.Key ResponsibilitiesCollaborate with Portfolio Managers and Quantitative Developers to translate business needs into effective technical solutions while providing insights into dataset intricacies.Enhance our data warehouse by designing and integrating new data sources and functionalities; boost system reliability, speed, and scalability while overseeing data access management.Contribute innovative data management, analytics, and technological insights to the team and leadership.Assess and recommend new tools and technologies for organizing, querying, and streaming extensive datasets.Create and implement automated systems for data cleansing, anomaly detection, monitoring, and alerting.Provide support for our production data warehouse as needed.Cultivate and maintain strong vendor partnerships aligned with our business objectives.Essential QualificationsProficiency in Python and Unix/Linux for data manipulation, scripting, and automation.Deep understanding of SQL and familiarity with NoSQL databases, especially Postgres and MongoDB, with skills in query optimization and performance tuning.Strong grasp of data modeling principles, including both normalization and denormalization techniques.Experience with cloud platforms, such as AWS or GCP.Familiarity with Git version control, collaborative workflows (e.g., Github), and CI/CD best practices.Bachelor’s degree in Computer Science, Information Technology, or a related field.Preferred Qualifications...
