AWS Data Engineer

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.

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.

Role overview Version 1 is hiring a Senior AWS Engineer to design, build, and manage scalable cloud systems for a varied client base. This role focuses on delivering practical AWS solutions that support clients’ business goals and digital transformation. Locations Positions are available in London, Birmingham, Manchester, Newcastle upon Tyne, Edinburgh, and Belfast.

Role Overview Version 1 is hiring an AWS Solutions Architect to design and implement cloud solutions for clients. This role shapes technical direction and ensures projects meet client needs using AWS services. What You Will Do Assess client requirements and translate them into scalable AWS architectures Lead solution design and oversee implementation Guide technical discussions with stakeholders and project teams Location Positions are available in London, Birmingham, Manchester, Newcastle upon Tyne, Edinburgh, and Belfast.

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.

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 business challenges, working collaboratively with our clients to help them achieve their objectives.About the Role:The Data Engineer position presents a remarkable opportunity for individuals seeking to enhance their technical prowess within the contemporary Microsoft data ecosystem while assuming greater ownership and accountability within project teams. This role is pivotal to client delivery, entailing the design and construction of robust data pipelines, the integration of intricate data sources, and the development of solutions utilizing Azure Data Services, Microsoft Fabric, Power BI, and Purview.As an Intermediate Data Engineer, you will tackle advanced engineering challenges, enhance existing pipelines, and contribute to the architecture of scalable, high-quality data frameworks. You will work closely with clients and cross-functional teams, translating business requirements into effective data solutions, while also initiating support and mentorship for junior engineers. This role is perfect for those aiming to advance towards senior-level responsibilities, gain insights into architectural considerations, and engage with state-of-the-art technologies, including Microsoft Foundry as part of emerging AI-driven capabilities. Candidates are encouraged to apply if they seek a position that combines hands-on engineering, problem-solving, continuous learning, and significant contributions to client success within a dynamic Data & AI business unit.Key Responsibilities:Design, implement, and maintain scalable, secure, and high-performing data pipelines using Azure Data Factory, Synapse, Fabric Pipelines, or Databricks.Integrate data from various systems into Azure Data Lake Storage or OneLake, ensuring consistency, reliability, and optimal performance.Develop and manage ELT/ETL processes utilizing Azure-native tools and Fabric capabilities, optimizing for cost-efficiency and performance.Construct and maintain Microsoft Fabric artifacts, including lakehouses, warehouses, notebooks, dataflows, and semantic models.Execute advanced data transformations using SQL, Python, Spark, or Fabric Data Engineering experiences to prepare data for analytical and reporting purposes.Oversee and refine data models utilized by Power BI, ensuring optimal performance, relationships, quality, and reusability.Facilitate enterprise BI development by preparing datasets, semantic models, and reusable components within Power BI and Fabric.Implement data governance and security best practices by utilizing Purview.

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.

Senior Mechanical Engineer - Data CentresJoin our team in Edinburgh as a Senior Mechanical Engineer, where you will contribute to some of the UK's most cutting-edge and complex Data Centre projects. In this role, you will collaborate with a talented team while managing your own project tasks, executing detailed designs to meet industry standards, and ensuring exceptional client service.As a key member of our Data Centre Facilities Team, you will be responsible for developing highly resilient mechanical systems essential for cooling and supporting the critical operations within modern data centres, with a focus on sustainability and reliability.Your responsibilities will include designing and delivering primary mechanical systems such as cooling, ventilation, automation, and control systems, along with a variety of ancillary support systems. You will gain in-depth knowledge of building physics, computational fluid dynamics (CFD), and sustainable design solutions that will guide the engineering design principles for our Data Centre Facilities.At Ramboll, you will be part of a collaborative environment that emphasizes technical delivery and superior client care. You will also have the opportunity to work alongside various disciplines within our Buildings department, including Building Services, Structures, Civil, Facades, Acoustics, and more, fostering growth and enhancing your engineering capabilities.If you are ready to make a significant impact in the digital world through innovative solutions, we encourage you to apply.

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.

Start Your Journey in Cloud Computing with Comprehensive Training!Are you ready to embark on a rewarding career as a Cloud Operations Engineer? No prior experience is necessary, as we offer complete training to help you succeed in this dynamic field.With a significant demand for AWS Cloud Computing Engineers due to a skills shortage, now is the perfect time to join the industry. We have partnered with numerous employers eager to hire motivated individuals like you, equipped with the essential skills and certifications.Our training programs are designed to provide you with the knowledge and expertise required to excel in Cloud Computing. Upon successful completion, we will connect you with our network of employers to help you secure vital roles in this thriving sector.Interested in learning more? Join our complimentary AWS Career Webinar by clicking 'Apply for this job', and we will send you the link to participate. After attending this informative event, you will have the opportunity to decide if this is the right career path for you.

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.