Data Engineer

Join Trainline as a Data Engineer and become an integral part of our dynamic data team. In this role, you will leverage cutting-edge technologies to build and maintain robust data infrastructure that supports our mission of providing seamless travel solutions. Your expertise will contribute to optimizing data pipelines, ensuring data quality, and delivering …

Role Overview:We are looking for a talented Data Engineer to contribute significantly to a vital client initiative. This role will involve the design, construction, and optimization of data pipelines within a cloud-centric data and analytics ecosystem. The ideal candidate will possess a solid foundation in data engineering principles, a commitment to delivering reliable solutions, and the capability to work collaboratively with both technical and business teams.Key Responsibilities:Data Engineering & Pipeline DevelopmentDesign, build, and sustain scalable data pipelines for both batch and streaming workloads.Develop robust ingestion, transformation, and curation processes using contemporary data engineering tools and methodologies.Create and maintain data models, curated datasets, and integration layers to facilitate analytics and reporting.Enhance data processing for optimum performance, reliability, and cost-effectiveness.Data Quality, Governance & SecurityEstablish data quality checks, validation processes, and automated monitoring.Ensure comprehensive and accurate data lineage, metadata management, and documentation.Implement necessary security measures, including role-based access controls, data masking, and protection of sensitive information.Cloud & Platform EngineeringUtilize cloud-native services for storage, compute, and workflow orchestration.Oversee pipeline and platform performance, identifying and resolving any issues or bottlenecks.Assist in configuring environments, standardizing processes, and implementing best practices.DevOps, Automation & ObservabilityLeverage CI/CD practices to deploy code, configurations, and data assets across different environments.Maintain version control, engage in code reviews, and adhere to release processes.Construct monitoring, alerting, and logging systems to support high-quality operations and quick issue resolution.Collaboration & DeliveryWork closely with technical and business stakeholders to ensure alignment and successful project delivery.

Note: This position requires 4 days of in-office work in Central London and 1 day of remote work.Key Responsibilities:Develop features, resolve issues, and perform daily monitoring on the cloud delta lakehouse data platform.Collaborate within an agile technical team, actively engaging in all ceremonies, including daily stand-ups and backlog refinement sessions.Make architectural decisions, mentor junior engineers, and contribute to the establishment of engineering standards, documentation, and reusable frameworks.Experience Required:Minimum of 10 years of overall experience in data engineering.At least 5 years of experience in a data warehouse solution landscape.Proven experience leading complex data initiatives and making architectural decisions.Familiar with agile delivery methodologies, preferably SCRUM or Kanban.Ability to take ownership of data issues, conduct investigations and root cause analysis, and implement fixes through code and data modifications.Understanding of data warehouse testing strategies and quality assurance processes.Proficient in git branching strategies and code management.Solid understanding of technical release management processes in Azure DevOps.Strong communication skills, capable of driving alignment, collaboration, and efficiency within teams.

Join our team as a Senior Data Engineer specializing in AWS!Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: PermanentAbout the RoleWe are seeking a talented Senior Data Engineer with expertise in AWS to be a key player in our dynamic team of engineering professionals. You will spearhead the design, construction, and deployment of innovative cloud-based data pipelines that drive transformative outcomes for Tier 1 financial services clients. Your contributions will significantly enhance data ingestion, transformation, and delivery at scale across the financial services landscape.Your ResponsibilitiesDesign and implement end-to-end data pipelines using AWS-native tools and cutting-edge data architectures.Collaborate closely with clients to gather requirements, craft tailored solutions, and deploy production-ready systems.Utilize AWS Well-Architected Principles to ensure your solutions are scalable, secure, and resilient.Lead the development of robust, thoroughly tested, and fault-tolerant data engineering solutions.Mentor junior engineers, fostering a culture of knowledge sharing and continuous learning within the team.What We Seek

Join Us in Revolutionizing Compensation.At Ravio, we recognize that fair compensation is crucial to both individual success and organizational growth. With a mission to transform how companies manage employee pay, we leverage advanced data solutions to enable our clients to attract and retain top talent. Our innovative real-time data platform redefines compensation management, offering insights into salary, equity, and benefits, ensuring everyone receives their rightful earnings regardless of their background.As a rapidly growing company, Ravio has positioned itself as a leader in Europe with over 1,200 clients, and we are on a journey to become the global authority in compensation data and tools. Joining our ambitious team provides an unparalleled opportunity to contribute to a product that is shaping the future of pay.We are currently seeking a Senior Data Engineer to enhance our data infrastructure, drive innovation, and contribute to our mission. If you’re excited about the prospect of scaling a startup into a global powerhouse, we want to hear from you!

Join the leading gift experience provider in the UK, Buyagift and Red Letter Days, where we transform special moments into unforgettable memories! With a diverse selection of over 4000 experiences ranging from spa days to thrilling skydives, we excel in delivering the gift of surprise. As part of the esteemed Moonpig Group, our vision is to establish ourselves as the most reliable platform within the UK gift experience sector. Our mission centers on spreading joy through thoughtful, enriching experiences that resonate with our customers. People are integral to our operations. Since becoming a part of the Moonpig Group in 2022, we have thrived on strong values, innovative ideas, and a unified passion for making a genuine impact. Here, you will have the opportunity to create unforgettable experiences and foster meaningful connections.Position: Data Engineering Manager | London – Hybrid (2 days in office) | Competitive Salary + BenefitsRole OverviewWe are seeking a talented Data Engineering Manager to spearhead our Data Engineering team at Buyagift & Red Letter Days, a proud member of the Experience More group.This pivotal role involves utilizing data to enhance our business understanding and improve customer service. You will lead a team of data engineers dedicated to developing and maintaining a robust, scalable, and secure data infrastructure, ensuring timely access to the right data for the right individuals.Your responsibilities will blend team leadership with hands-on technical oversight, guiding our data strategy, data models, and architecture while enhancing data quality and governance. Collaborating closely with business stakeholders, you will design and implement structured, reliable data that supports reporting, analytics, and informed, data-driven decisions.

About XYZ RealityXYZ Reality is an innovative, award-winning Series-A startup on the cusp of our next funding round. Our goal is to enhance our platform by improving its features, performance, and scalability, all while transforming the construction industry.As a dynamic multi-disciplinary organization, we operate across various fields such as cloud development, data governance, data processing pipelines, electronics, embedded software/hardware, mechanical design/manufacturing, AI & computer vision, and data science, all contributing to the efficacy of our Building Information Modeling (BIM) Platform.To help propel our mission, we are in search of a Senior Data Engineer who possesses extensive experience in data modeling, database management, and data pipeline development. The ideal candidate will play a pivotal role in maintaining our existing tech stack and developing new features with an emphasis on performance and scalability. Collaboration with our API/backend development and data pipeline teams will be crucial to create robust and efficient solutions.

Join our dynamic team at Jane Street as a Data Centre Engineer in London! In this role, you will be pivotal in ensuring the smooth operation, maintenance, and optimization of our data centre facilities. You will work closely with various teams to implement innovative infrastructure solutions that enhance performance and reliability.

Role Overview Utility Warehouse is looking for a Data Engineering Manager to shape and execute its data strategy in London. This role leads a team of data engineers focused on building and maintaining data pipelines that power analytics and business intelligence across the company. What You Will Do Manage and mentor a team of data engineers, supporting their growth and performance Design and implement data pipelines to meet analytics and reporting needs Work with cross-functional partners to understand data requirements and deliver solutions Guide the team through technical challenges in data architecture and engineering Help turn data into actionable insights that support business growth What We’re Looking For Experience leading data engineering teams Strong background in data architecture and pipeline development Ability to collaborate across teams and communicate technical concepts clearly Interest in using data to support decision-making and business outcomes This position is based in London.

About UsAt Intropic, we are at the forefront of financial intelligence, merging extensive market knowledge with cutting-edge AI technology. Established in the heart of London’s Canary Wharf, our mission is to convert intricate data into clear insights that drive actionable results. Our work culture is defined by principles of truth-seeking, speed, and accountability, which guide our daily collaboration and innovation. We prioritize fast-paced learning and uphold the highest standards of integrity and impact. Curiosity is central to our ethos—if you are motivated by challenges, inspired by innovation, and eager to enhance your intelligence alongside a team of brilliant minds, Intropic is the perfect place for your ideas to thrive.Who We Are Looking ForWe are in search of a dynamic and technically proficient Market Data Engineer who excels in constructing resilient, low-latency systems. If you possess a passion for financial markets and expertise in developing real-time data pipelines, we would be excited to connect with you.

Join Talan as a Data Engineering Consultant and play a pivotal role in shaping data-driven solutions for our clients. This full-time position based in London offers you the chance to work alongside industry experts, utilizing advanced data engineering techniques to drive innovation and efficiency.

Join Checkatrade as a Director of Data Engineering and play a pivotal role in shaping our data strategies and architecture. You will lead a talented team of data engineers, driving innovation and ensuring that our data infrastructure supports the company's growth and operational excellence. Your leadership will be crucial in optimizing data flow, improving data quality, and leveraging analytics to inform business decisions.

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.

yuno is looking for an Engineering Manager to join the Data Platform team in London. This position centers on strengthening the company’s data infrastructure, which is essential for collecting, managing, and using data across multiple products and teams. Role overview The Engineering Manager will oversee a group of engineers dedicated to the development and performance of yuno’s data platform. The work involves guiding the team through the design and implementation of data systems that are both scalable and reliable. What you will do Lead and support a team working on the data platform’s development and ongoing performance. Direct the design and rollout of data systems built for scale and reliability. Encourage a collaborative and creative team culture. Ensure delivery of data solutions that align with business goals. Location This role is based in London.

Join our innovative team at Synthesia as a Senior Data Engineer, where you will play a pivotal role in shaping the future of AI-driven video synthesis. As a key member of our data engineering team, you will design, implement, and maintain robust data pipelines that enable our advanced machine learning models to thrive. Your expertise will help us harness the power of data, ensuring high availability and performance. Collaborate with cross-functional teams to transform raw data into actionable insights that drive our product's success and enhance user experiences.

About FreshaFresha stands as the premier marketplace platform for beauty and wellness, earning the trust of millions of consumers and businesses globally. With over 130,000 businesses and more than 450,000 stylists and professionals utilizing our services, we have facilitated the processing of over 1 billion appointments to date.Headquartered in London, United Kingdom, Fresha boasts 15 global offices across North America, EMEA, and APAC.Our platform empowers consumers to discover, book, and pay for beauty and wellness appointments at local businesses. Simultaneously, beauty and wellness professionals leverage our all-in-one business software and financial technology solutions to streamline their operations.Fresha’s ecosystem provides merchants with all the tools necessary to manage their business effectively, including appointment scheduling, point-of-sale systems, customer record management, marketing automation, loyalty programs, inventory management, and team oversight.By harnessing the power of online bookings and automation, our consumer marketplace unlocks significant revenue opportunities for partner businesses through advanced integrations with prominent tech platforms like Instagram, Facebook, and Google.Role OverviewAs part of our ambitious growth strategy, we are on the lookout for a talented and seasoned Senior Data Engineer to join our dynamic team. This pivotal role will report directly to the Head of Data & Infrastructure and will be instrumental in enhancing our infrastructure and data pipelines.The ideal candidate will possess a robust understanding of technologies such as Kafka, Spark, and Flink, accompanied by a solid foundation in core computer science principles. Strong communication and problem-solving abilities are a must, alongside the willingness to collaborate effectively within a team environment.We seek an individual who thrives in a fast-paced setting and is comfortable working with highly available, always-on systems. You will be adept at implementing changes in a backwards-compatible manner, minimizing downtime, and ensuring consistency and reliability with a strong customer focus.

About General AtlanticGeneral Atlantic is a prominent global investor with over 45 years of experience in providing capital and strategic support to more than 830 companies. Founded in 1980, the firm is dedicated to partnering with visionary founders and investors to foster dynamic businesses and create long-term value. Guided by the belief that entrepreneurs are key agents of transformational change, General Atlantic combines a collaborative global approach, sector-specific expertise, a long-term investment perspective, and a profound understanding of growth drivers to nurture and scale innovative businesses worldwide. The firm utilizes its patient capital, operational expertise, and global platform to support a diversified investment strategy encompassing Growth Equity, Credit, Climate, and Sustainable Infrastructure. As of December 31, 2025, General Atlantic manages approximately $123 billion in assets across various strategies, backed by over 900 professionals in 20 countries across five regions. More information can be found at www.generalatlantic.com.About ActisIn October 2024, General Atlantic acquired Actis, which now operates as its Sustainable Infrastructure business alongside its existing strategies in Growth Equity, Credit, and Climate. Actis is a leading global investor in sustainable infrastructure, focused on delivering competitive returns for institutional investors while making a measurable positive impact on the communities it serves. Actis invests in structural themes that promote long-term, equitable growth in critical infrastructure across energy transition, digitalization, and supply chain transformation. With decades of global experience and a strong operational culture, Actis aims to develop global sustainability leaders at scale. Since its inception, Actis has raised $26 billion to invest in a better tomorrow and is a signatory of the United Nations-backed Principles for Responsible Investment (UNPRI). More information is available at www.act.is.Key Purpose of RoleGeneral Atlantic is looking for an Associate-level Data Engineer to become part of the Data Strategy team. This individual will report to the VP, Head of Data Engineering, and collaborate closely with senior data engineers, product managers, and infrastructure teams to build and enhance data systems.

Join Storio Group as an Engineering ManagerRole Overview:We are on the lookout for a skilled Engineering Manager specializing in Data to lead our dynamic London-based data team. Your primary focus will be to develop and enhance a platform that fosters a decentralized data adoption model throughout our organization.At Storio, we prioritize delivering reliable and actionable data that fulfills business requirements. We’re eager for you to build and manage a high-performing team dedicated to this objective. If you have a background in software engineering management with a focus on data, we would love to hear from you!Our data and AI team is expanding across the UK and the Netherlands, serving as the backbone for various data-driven consumers and platforms within Marketing, Finance, Operations, and Product teams.Our AI photo services are pivotal to enhancing customer experience, and we are broadening our efforts towards decentralized machine learning adoption within the business. Following a series of mergers, our team has unified and is transitioning from a phase of simplifying legacy systems to a stage of consolidation and growth.Our Technology Stack:• Cloud Data Warehouse - Snowflake• AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda• Data Governance & Quality - Collate & Monte Carlo• Infrastructure as Code - Terraform• Data Integration & Transformation - Python, DBT, Fivetran, Airflow• CI/CD - Github Actions / Jenkins

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.

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.