Intermediate Data Engineer

Sword Group is a premier provider of innovative business technology solutions catering to the Energy, Public, and Finance sectors. We are dedicated to driving transformational change for our clients through the application of proven technologies, specialized teams, and deep domain expertise. Our commitment lies in harnessing technology to address complex bus…

Join Capco as an AWS Data Engineer and play a key role in transforming data into actionable insights. As part of our dynamic team, you will work on innovative cloud-based solutions that drive business value. You will leverage your expertise in AWS technologies to design and implement scalable data architectures that meet our clients' needs.

THE POSITION Join our innovative team at FanDuel, where we are currently seeking a talented Data Engineer to enhance our data engineering capabilities. In this exciting role, you will play a crucial part in developing and maintaining the data pipelines and infrastructure that drive analytics, machine learning, and strategic business decisions across the organization. You will have the opportunity to design, develop, and maintain robust data systems while collaborating with key stakeholders to support impactful data initiatives. The ideal candidate is a passionate technical expert who thrives on working with large datasets, solving real-world problems, and continuously evolving in a fast-moving environment. If this sounds like you, we’d love to hear from you! THE GAME PLAN Your contributions will be vital in various areas: Build & Maintain Data Pipelines: Design, construct, and oversee scalable batch and streaming data pipelines to bolster analytics and business operations. Write clear, efficient, and well-documented code utilizing technologies such as Python, SQL, and Spark. Ensure data reliability, accuracy, and timely delivery. Collaborate Across Teams: Engage with data analysts, data scientists, and product managers to gather requirements and provide actionable data solutions. Translate business inquiries into engineering tasks and assist in technical planning. Participate in code reviews, sprint planning, and retrospectives as a member of an agile team. Data Quality & Operations: Monitor data pipelines and resolve issues promptly and systematically. Implement data quality checks and enhance observability and testing practices. Document data sources, transformations, and architectural decisions to promote long-term maintainability.

As a Senior Data Engineer at Wrisk, you'll be an integral part of our dynamic Data Science & Engineering team, empowering our clients to leverage transactional intelligence for more informed financial decisions and innovative product development. Your expertise will be crucial in crafting and delivering scalable, production-ready analytical solutions that transform intricate data into actionable insights.In this role, you will take ownership of optimizing the systems responsible for ingesting, transforming, and serving extensive transactional data sets. Your responsibilities will include designing resilient data pipelines, implementing robust data models, deploying both real-time and batch processing systems, and ensuring data integrity through observability, testing, and automation. Collaborating closely with the data science and product teams, you will align with customer requirements and internal strategies to produce quantifiable outcomes in data engineering.We seek a passionate technology enthusiast who is inquisitive about data infrastructure and eager to tackle real-world challenges. A solid foundation in data engineering, a creative approach to problem-solving, and clear communication skills with both technical and non-technical stakeholders are essential. You will receive ongoing training and development opportunities to enhance your skills and stay ahead in this rapidly evolving industry.

Join Our Winning Team! FanDuel is on the lookout for a Data Engineering Manager to spearhead a talented team of data engineers focused on developing robust, scalable data products and infrastructure. In this hybrid position, you'll merge people management with technical execution—mentoring engineers, steering solution design, and collaborating with various teams to create data systems that empower analytics, data science, and operational functions. This opportunity is perfect for an accomplished data engineer or technical lead eager to advance into engineering management while enjoying a hands-on role alongside strategic oversight. If you are passionate about this challenge and want to thrive in a vibrant company culture, we would love to connect with you! YOUR GAME PLAN:Every team member plays a crucial role. Team Management & Growth Guide and mentor a team of data engineers through coaching and technical guidance. Support individual career growth and provide performance feedback, fostering opportunities for team advancement. Cultivate a collaborative, inclusive, and high-performance team environment. Technical Oversight & Delivery Lead the design and execution of scalable data pipelines, platforms, and products. Review architecture and code, offer technical direction, and address complex engineering challenges with hands-on involvement when necessary. Ensure the delivery of high-quality, dependable solutions aligned with business objectives and engineering best practices. Cross-Functional Collaboration Collaborate with product managers, data scientists, analysts, and business stakeholders to grasp requirements and prioritize tasks. Transform business needs into practical engineering plans and guarantee the timely completion of critical projects. Communicate effectively across technical and non-technical teams to ensure alignment on priorities and progress. Operational Excellence Advocate for operational stability and reliability of data pipelines and systems through monitoring, alerting, and incident management. Champion high standards in data quality, governance, and compliance by partnering with platform and data governance teams. Drive continuous improvement in development processes and team productivity.

Join Capco as a Senior Data Engineer specializing in AWS technologies. In this role, you will leverage your expertise to design and implement robust data solutions that drive business intelligence and analytics. You will collaborate with cross-functional teams to enhance our data infrastructure and ensure the integrity and efficiency of data processing.

Join Capco as a Principal AWS Data Engineer, where you will play a pivotal role in shaping our data engineering practices and driving innovation within the cloud computing space. You will collaborate with cross-functional teams to design, implement, and maintain robust data pipelines and architectures that support advanced analytics and business intelligence initiatives.

Job Title: Engineering Manager - Data Platform & Analytics Engineering Location: London, Bristol or Edinburgh (Hybrid options available) Salary: £92,800 - £115,000 Reporting to: Head of Data Science & Products Eligibility: Must have the right to work in the UK; visa sponsorship is currently not available. Kaluza is at the forefront of reshaping the energy landscape through our Energy Intelligence Platform. We empower energy companies to navigate the complexities of modern energy demands while driving the transition to a sustainable, electrified future. Utilizing cutting-edge Data, AI technologies, and real-time decision-making, we convert energy challenges into growth opportunities for our partners. Our innovative approach combines predictive algorithms with user-centric design, ensuring that clean energy remains reliable and affordable. With a diverse team spanning Europe, North America, Asia, and Australia, and a strategic partnership with Mitsubishi Corporation in Japan, we are proud to support industry leaders such as OVO, AGL, and ENGIE, along with pioneering companies like Volvo and Volkswagen. Join the Kaluza Data Community: Data is pivotal to our mission, and we seek curious minds who can transform data into actionable insights and strategies. You will be instrumental in enhancing the Kaluza platform, a pioneering technology designed to revolutionize energy retail operations globally, with a focus on regional adaptability and decarbonization efforts.

Join Us at DayshapeDayshape is a prestigious, award-winning software scale-up with ambitious goals and the drive to achieve them. Our AI-driven resource management platform is trusted by many of the Big Four and top-tier professional services firms around the globe. We empower organizations to reach exceptional outcomes through our unique approach.Our platform stands out as the sole solution that integrates advanced AI capabilities, real-time project financials, and comprehensive firm-wide insights, transforming resource management into a strategic asset. By enabling profitable growth, facilitating informed decision-making, and ensuring satisfaction for both clients and teams, we assist our clients in building robust organizations and rewarding careers for the long haul.Why Our Clients Appreciate Dayshape:We enable professional firms to optimize their margins and boost revenue, granting access to more lucrative opportunities.We deliver complete operational visibility and equip firms with the tools to predict future outcomes confidently.We empower organizations to become the ideal workplaces for top talent and preferred partners for esteemed clients.Recognized as Scotland’s fastest-growing tech firm in the Deloitte Technology Fast 50 for three consecutive years, we consistently demonstrate our capacity to innovate and create genuine impact. We are always on the lookout for like-minded individuals to join our journey.At Dayshape, we aim to enhance people's working lives, and our culture plays a pivotal role in achieving this goal. Our team is friendly, inclusive, and driven by our core values and a collective commitment to success. If you're ready to be a part of a fast-growing, high-impact company that is redefining resource management, we would love to hear from you.Your Role:As a Data Engineer, you will serve as the crucial link between technical design and client implementation for our data integration projects. You will oversee the entire lifecycle of data pipelines, from initial specifications in collaboration with Project Managers and Software Implementation Consultants, through design and construction, to long-term performance monitoring. Your task will involve architecting reliable data solutions for our expanding global clientele.This role encourages collaboration, providing you the opportunity to engage directly with clients during requirements gathering and the implementation of new integrations. As the demand for integration work grows, you will play an essential role in establishing standards for future integrations.Your Responsibilities:Collaborate with cross-functional teams to define requirements and design data pipelines.Implement and maintain data integration processes to ensure reliability and efficiency.Monitor and optimize the performance of existing data solutions.Support clients in understanding and utilizing data solutions for their needs.

About UsAt Dayshape, we are more than just a software scale-up; we are a dynamic team with a vision to revolutionize resource management. Recognized as Scotland’s fastest-growing tech company by Deloitte for three consecutive years and awarded Enterprise Digital Tech Business of the Year at the 2024 ScotlandIS awards, we are proud to support prestigious global firms, including Big Four accounting firms, with our innovative AI-powered resource management platform.Our unique platform not only combines advanced AI with real-time project financials, but also provides firm-wide insights, transforming resource management into a strategic function. This enables our clients to drive profitable growth, make confident decisions, and foster strong relationships with their teams and clients.Why Choose Dayshape?Enhance your professional journey by working with cutting-edge technology that optimizes margins and increases revenue for professional firms.Gain operational visibility with the tools necessary to confidently predict future outcomes.Join a workplace that attracts top talent and engages the best clients.Our commitment to improving people's working lives is reflected in our inclusive and ambitious culture, which is rooted in our core values. If you're passionate about making a meaningful impact in a fast-growing, high-impact company, we would love to hear from you.About the RoleAs a Principal Software Engineer, you will play a vital role in shaping our product portfolio, exploring innovative ways to access, utilize, and interact with key data to facilitate extraordinary business outcomes. Your expertise will support our product and engineering teams in prioritizing, scoping, and delivering impactful product features.

Join our dynamic team at Addepar as a Backend Software Engineer specializing in Portfolio Data Workflows. You'll play a crucial role in designing, developing, and optimizing backend systems that manage and process large volumes of financial data. Your expertise will help us enhance the functionality and performance of our platforms, ensuring that our clients have seamless access to their portfolio information.

Role overview The Portfolio Data Analyst at Addepar in Edinburgh, UK, plays a key part in transforming complex portfolio data into clear analytics. These insights help guide business strategy and support decision-making across the company. Main responsibilities Collaborate with teams from various functions to develop thorough portfolio analyses Maintain accuracy in reporting and ensure timely delivery of reports Convert raw data into meaningful insights that shape business strategy

Job Title: Future Interest: Analytics Engineer Location: London, Bristol, or Edinburgh (Hybrid working model) Salary: £46,400 - £63,800 Team: Analytics Engineering team Reporting To: Analytics Engineering Manager Note on this Role: Currently, we do not have a specific opening for this position, but due to our rapid growth, we frequently hire for this skill set! By applying here, you will be added to our Priority Talent Pool. When a headcount is approved, our recruiters will review this pool prior to posting the job publicly. Work Authorization: This position requires existing right to work in the UK. Please note, we are unable to offer visa sponsorship for this role at this time. We are dedicated to building a diverse, global team and our sponsorship policy is evaluated on a role-by-role basis. Keep an eye on our careers site for future opportunities that may include visa sponsorship. Kaluza is transforming the energy landscape as the leading Energy Intelligence Platform. Our mission is to simplify energy complexities while facilitating the transition to a clean, electrified future. Our platform coordinates millions of real-time decisions across homes, devices, markets, and grids. By integrating predictive algorithms with user-centric design, Kaluza makes clean energy reliable, affordable, and adaptable to everyday life. With teams spanning Europe, North America, Asia, and Australia, and a joint venture with Mitsubishi Corporation in Japan, we empower top companies like OVO, AGL, and ENGIE, along with innovators such as Volvo and Volkswagen. Key Responsibilities: In the role of Analytics Engineer, you will be crucial in building the foundation for our global reporting capabilities. Your primary focus will be on designing and implementing a high-performance, scalable dimensional model tailored to serve multiple global clients. This position is not just about data migration; it's about expertly translating complex schema designs into production-ready SQL. You will act as a bridge between abstract data architecture and operations, ensuring the integrity and efficiency of our analytics systems.

Ramboll is on the hunt for talented individuals to join our growing Data Centre Projects Team in Edinburgh, UK. We are dedicated to delivering innovative solutions and exceptional service in the data center sector. If you are passionate about technology and eager to contribute to exciting projects, we want to hear from you!

Join Addepar as a Portfolio Data Operations Analyst, where you will play a pivotal role in managing and optimizing our portfolio data operations. This position involves working closely with our data management team to ensure the accuracy and integrity of financial data, while also enhancing our data workflows to improve efficiency and performance.As a critical member of our team, you will engage with various stakeholders to understand their data needs and translate them into actionable insights. Your analytical skills will be vital in identifying trends and discrepancies within our datasets, allowing for informed decision-making.

Join Our Team as a Driver and Data Collector!Terry Soot Management Group (TSMG) is a leading field data collection company established in 2017 in Europe. Our mission is to gather critical data in areas where automation isn't feasible. We specialize in capturing images, recording audio, and creating detailed visual documentation to aid in informed decision-making. Our dedicated teams operate across Europe and North America, always prepared to tackle new challenges.Project OverviewWe are on a mission to collect high-quality imagery of streets, significant points of interest, and public spaces throughout EU countries. Utilizing vehicles equipped with state-of-the-art removable 360° cameras and lidar technology, our drivers will document their surroundings comprehensively. This data will then be processed and used to enhance one of the world’s foremost online mapping services.As a data collector, you will follow predetermined routes, focusing on public streets, commercial districts, and notable locations. To ensure optimal image quality, it may be necessary to revisit certain areas during favorable weather conditions.Work Schedule: Full-time commitment within standard business hours (8 AM - 7 PM).Recruitment Process: The selection process for the Driver position includes a safety driving assessment, an interview with a recruiter, and an onboarding procedure.

Be a Part of the Technological Revolution at ThinkingIT Corp.Are you driven by a passion for technology and data? ThinkingIT Corp. invites you to submit your interest in our Tech & Data Internship program. This thrilling opportunity is designed for students and recent graduates eager to dive into the dynamic realm of digital solutions and data analysis.As a Tech & Data Intern, you will acquire practical experience by collaborating with seasoned professionals on various projects centered on software development, data analytics, and cutting-edge technologies. You will master the essentials of programming, data manipulation, and industry best practices while making contributions to impactful projects.Your Internship Experience Will Include:Engagement with real-world tech projects, emphasizing software development and data analysis.Collaboration with experienced engineers and data specialists.Opportunities to enhance your coding and analytical abilities.Participation in discussions and workshops on the latest technology and data science trends.

Join our dynamic team at Trainline as a Senior Data Analyst specializing in Rail Fraud. In this pivotal role, you'll analyze complex datasets to detect and prevent fraudulent activities, ensuring the integrity of our operations. Utilize cutting-edge analytical tools and methodologies to provide actionable insights that will enhance our fraud prevention strategies and protect our customers.

Join Our Team as a Field Data Collection SpecialistAre you passionate about data collection and enjoy traveling? Terry Soot Management Group (TSMG) is a leading field data collection company established in 2017, dedicated to gathering vital information in settings where automation is not feasible. Our team operates across Europe and North America, capturing essential data through counting features, taking photographs, recording videos, and gathering audio recordings to empower businesses in their decision-making processes.Project ObjectiveYour mission will be to verify the geolocation of businesses in major UK cities, specifically London and Birmingham.Key ResponsibilitiesAs a Field Data Collection Specialist, you will be assigned specific addresses daily that require your on-site presence. You will utilize a designated device equipped with a targeted application, making this role perfect for individuals who are active and enjoy traveling.Duration of EmploymentThis project is ongoing, and we are eagerly looking for new team members to contribute as we expand rapidly, with no defined end date at this time.Work ScheduleThe working hours are Monday to Friday, 8 hours per day, totaling 40 hours per week.

Senior Data Architect – Wealth & Asset Management Location: Edinburgh (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Design the blueprint. Architect the future of the Wealth & Asset Management industry. Empower data transformation. The RoleCapco is on the lookout for an experienced Senior Data Architect to spearhead and implement complex data architecture initiatives for our Wealth & Asset Management clientele. In this pivotal consulting role, you will guide wealth managers, asset managers, and private banks through extensive data transformation journeys—defining enterprise data strategies, designing target architectures, and constructing scalable, cloud-based platforms that enhance advisor and client experiences, investment analytics, regulatory reporting, and operational effectiveness. In addition to client delivery, you will play a key role in evolving Capco’s Wealth & Asset Management data architecture propositions and bolstering thought leadership in modern, cloud-native data ecosystems. What You’ll Do Lead agile consulting projects to deliver cutting-edge data architecture and cloud transformation within Wealth & Asset Management. Define and execute scalable enterprise data strategies that encompass various programs and business units. Design canonical WAM data domains and models (client/household, portfolio/account, holdings/transactions, instruments & pricing, performance, fees). Architect and implement cloud-native data platforms (AWS, Azure, GCP) that facilitate advisor/client journeys and advanced investment analytics (risk, performance, reporting). Establish integration patterns across core WAM platforms (CRM/advisor, OMS/PMS, wealth back office, custody, market/reference data, reporting). Develop robust data quality, reconciliation, and control frameworks (e.g., holdings vs. books & records/AUM, pricing, corporate actions, fees/NAV). Drive master and reference data strategies (clients, instruments, counterparties, legal entities) aligned with governance, metadata, privacy, and stewardship. Act as a subject matter expert, translating intricate technical concepts into clear business value for senior stakeholders. What We’re Looking For Demonstrated expertise in enterprise data architecture and cloud data engineering, including platform design within Wealth & Asset Management environments. Proficient in leading data transformation projects and implementing cloud solutions. Strong analytical and problem-solving skills. Excellent communication and stakeholder management capabilities.