Engineering Manager - Data Team

About the Role: As we experience rapid growth, our Engineering team is set to expand in the next three months, and we are actively seeking an Engineering Manager to join Bluefish’s engineering leadership team. This position is not merely about leadership; it represents a unique opportunity to influence the trajectory of a dynamic, product-focused startup during a pivotal growth phase. In this capacity, you will oversee our Data Engineering team, tasked with developing the pipelines and infrastructure that fuel our AI-driven commerce intelligence platform. Our systems handle and process hundreds of millions of synthetic prompts and signals, with expectations of significant scaling as our traffic increases exponentially in the upcoming months. A key aspect of this role involves guiding the team in evolving our data platform towards a scalable data lake architecture while ensuring the reliability of essential production pipelines utilized by enterprise clients. You will be at the forefront of execution, quality, and team culture. Your leadership will help transition early-stage momentum into a mature, high-performing team while maintaining the agility and pace that characterize outstanding startups.

About UsAt Perk, we are revolutionizing travel and spend management with our intelligent platform that streamlines tedious tasks like travel bookings, expense tracking, and invoice processing. By automating these processes, we free our clients from the burdens of shadow work, allowing them to focus on what truly matters—driving productivity and innovation.Serving over 10,000 companies worldwide, including industry leaders like Wise, On Running, Breitling, and Fabletics, we are committed to addressing the $1.7 trillion issue of lost productivity—averaging 7 hours per employee each week. Founded in 2015, Perk is a global team of over 1,800 professionals across 12 offices, with headquarters in London and Boston. We blend innovation, control, and simplicity to enhance workplace efficiency and employee satisfaction.Our values—ownership, delivering a 7-star experience, and teamwork—drive us. We seek individuals who are curious, purpose-driven, and possess the right mindset to unlock potential. Our diverse talent pool represents over 70 countries, and if you are eager to make a significant impact in the professional world, we welcome you to join our team.To learn more about us, visit www.perk.com.

Role Overview Wise is looking for a Senior Engineering Team Lead focused on Data Platforms to join the London office. This role centers on guiding a skilled team of engineers and strengthening the company’s data infrastructure. The position offers the chance to shape how Wise manages and scales its data capabilities. What You Will Do Lead and support a team of engineers working on Wise’s data platform Create an environment where collaboration and knowledge sharing are standard practice Drive improvements in platform reliability and performance Champion engineering best practices and help the team adopt them Work closely with stakeholders to ensure the platform meets operational needs Location This position is based in London.

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.

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 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.

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 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

Join hyperexponential as an Engineering Manager - AI TeamAt hyperexponential, we are revolutionizing the insurance industry with our AI-driven platform that empowers critical decision-making in a £7 trillion market. Our technology influences significant outcomes, from successful space missions to the deployment of autonomous vehicles and community resilience in the face of disasters.Insurance decisions, often reliant on outdated tools, are being transformed. Our platform integrates data, AI, and human expertise, providing insurers with a rapid path from submission to decision, allowing them to react swiftly and confidently manage increased risks.With backing from a16z, Highland Europe, and Battery Ventures, we are expanding globally, already trusted by nearly 50 major insurers, with zero churn and billions in premiums flowing through our system.What started as a single product has evolved into a multi-product, multi-territory platform that enhances every aspect of pricing and underwriting strategy. At our core lies AI innovation, exemplified by initiatives such as the world’s first domain-specific AI peer programmer for insurance and transformative workflows that redefine industry operations.Our team values impact over titles and tenure. Here, challenges and discipline define your role. You will collaborate with talented peers, enabling you to produce your most impactful work in an environment built for longevity.If you’re ready to shape the future with us, we invite you to apply.About the AI TeamThe Agent teams are dedicated to developing and scaling advanced AI solutions that streamline customer workflows, ranging from autonomous analysis to user-driven automation. As an Engineering Manager, you will play a pivotal role in transforming ambitious product visions into concrete, production-ready agent functionalities that drive significant results for our clients.This team operates with the agility of a highly aligned unit, fostering close collaboration among Engineering, Product, Design, and Research Engineering. We thrive on rapid feedback and prioritize experimentation, viewing uncertainty as an opportunity for innovative design. Our approach includes formal practices for exploration and exploitation, ensuring we focus on impactful solutions while discarding ineffective ones.

Funding Circle connects small businesses in the UK with fast access to funding, helping them grow and contribute to the broader economy. The company’s platform simplifies the lending process, allowing businesses to secure capital in minutes instead of waiting weeks. Culture At Funding Circle, the team blends the adaptability of a fintech start-up with the reliability of a public company. Employees, known as Circlers, are empowered to make meaningful decisions. Collaboration, open communication, and high standards guide daily work and foster a supportive environment. Company Impact Businesses using Funding Circle’s platform contributed £7.2 billion to the UK economy last year. Every team member plays a role in driving this impact.

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.

Genomics England seeks a Principal Data Engineer based in London. This senior role centers on building and maintaining the data systems that power the company’s work in healthcare and genomics. The position involves designing and implementing solutions that turn genomic data into insights for better patient outcomes. Key responsibilities Design and develop infrastructure to manage large-scale genomic data projects. Collaborate with teams across Genomics England to identify data needs and deliver tailored solutions. Maintain data integrity and ensure accessibility throughout all systems. Influence and shape the company’s data engineering practices and standards. Requirements Significant experience in data engineering, preferably within complex or scientific settings. Proven ability to design, build, and optimize data systems. Comfort working alongside colleagues from a range of disciplines. Strong commitment to data quality and security.

At Intercom, we are revolutionizing customer service through AI technology. Our mission is to empower businesses to deliver exceptional customer experiences by leveraging our advanced AI agent, Fin. This cutting-edge solution enables businesses to provide round-the-clock, flawless customer service and significantly enhances customer interactions. By integrating Fin with our Helpdesk, we offer the Intercom Customer Service Suite, a comprehensive solution tailored for complex queries requiring human assistance.Founded in 2011, Intercom has earned the trust of nearly 30,000 businesses globally, setting a new benchmark for customer service excellence. We are driven by core values that inspire us to push boundaries, innovate rapidly, and consistently deliver outstanding value to our clients.What Opportunities Await You?The demand for data at Intercom is skyrocketing, driven by our growth and ambition to integrate sophisticated, AI-driven data solutions. Our Data Engineering team is the heartbeat of our organization, responsible for constructing and upholding the infrastructure that transforms raw data into actionable insights, empowering teams across Product, Research, and more. We seek an experienced Senior Data Engineering Manager to lead pivotal data initiatives and propel our efforts forward.Key ResponsibilitiesThis role emphasizes impact and leadership. You will guide a team dedicated to designing and refining the core infrastructure that forms the backbone of our data ecosystem.Next-Gen Platform Evolution: Collaborate with product and business teams to architect and implement the next generation of our data stack, ensuring it meets the requirements of advanced analytics and AI applications.Enablement Through Tooling: Work closely with Analytics Engineers, Analysts, and Data Scientists to develop the self-service tools and infrastructure necessary for swift and secure deployments.Data Quality Guardianship: Establish advanced monitoring systems to proactively identify, highlight, and resolve data quality issues within our high-volume environment.Driving Automation: Create automation and tools that simplify the generation and discovery of high-quality analytics data, enhancing the overall efficiency of the data lifecycle.Your Strategic ImpactIn this pivotal role, you will not only shape our data strategy but also significantly influence the direction of our data infrastructure, enabling us to harness the power of data to drive business success.

As the Engineering Team Lead for our dynamic Permian Business Unit, you will orchestrate the Asset Management program utilizing our advanced Computerized Maintenance Management System (CMMS). Your role will involve analyzing asset performance, managing work orders, and facilitating seamless data transfer across departments. You will collaborate with our Digital Innovation team to implement an Enterprise Asset Management Solution, while providing vital technical and administrative support to our engineering professionals.

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 actionable insights that drive strategic decisions.

Role overview hmgroup needs a Senior Data Engineer based in London to influence how data is used across the company. This position centers on building and maintaining systems that move and organize large amounts of data, helping teams make informed decisions. Main responsibilities Design and manage data pipelines that process significant data volumes Build architecture to ensure reliable data processing and analytics Convert raw data into insights that support teams throughout hmgroup

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.

Checkout.com supports online payments for major brands including eBay, ASOS, Klarna, Uber Eats, and Sony, processing billions of transactions every year. With a presence in 19 offices across six continents and headquarters in London, the company emphasizes high performance, continuous improvement, and innovation. Employees contribute directly to shaping the future of fintech. Role overview The Senior Engineering Manager - Data Platform leads the Data and AI Platform Team. This group provides the systems and tools that enable products, merchants, and internal teams to make effective use of data and AI. The goal is to maximize time spent on innovation and solving business problems, while reducing the complexity of technical implementation, deployment, and monitoring. As Checkout.com grows, the Data Platform must scale to support hundreds of teams and manage petabyte-scale data volumes. What you will do Guide the team in designing technical architecture and building user-focused systems and tools. Oversee technical delivery and operational reliability, driving process automation and maintaining high engineering standards. Ensure service levels (SLAs/SLOs) are met with minimal manual intervention. Manage a team of Junior and Senior Data Engineers, providing hands-on support when needed. Foster an inclusive culture and mentor team members in both technical and interpersonal development. Lead quarterly execution of roadmap deliverables, ensuring alignment with business objectives. Location This position is based in London.

Role overview Nagarro seeks a Principal Engineer - Senior Project Manager in Data Engineering for its London office. This position focuses on leading complex data engineering initiatives from initial planning through delivery. The role blends hands-on technical leadership with project management, guiding a team to create scalable data solutions that support changing business requirements. What you will do Lead and manage a team of data engineers on large-scale projects Oversee the design and implementation of scalable data architectures Translate business requirements into practical, innovative data solutions Drive data strategy and ensure alignment with organizational goals Mentor and inspire team members, encouraging technical growth and collaboration Requirements Extensive experience in data engineering and project management Strong technical background in designing and implementing data solutions Proven ability to lead, inspire, and develop engineering teams Skilled at turning business needs into effective data strategies Nagarro values candidates who combine technical expertise with a collaborative leadership approach.

Join Trainline as a Junior Data Engineer and embark on an exciting journey to revolutionize the rail travel experience through data-driven solutions. In this role, you will collaborate with a dynamic team of professionals, utilizing cutting-edge technologies to manage and optimize our data infrastructure. Your contributions will directly impact our mission to simplify rail travel for millions of customers.