Lead Data Engineer

Senior Data Engineer

Scott Logic

We work with some of the UK’s biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice.    Our clients are increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models.   These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising clients or solving tough engineering challenges. You'd also be expected to spend some time on-site with clients in the London area on an ad-hoc basis.   Our data engineers combine a strong software engineering approach with solid data fundamentals and experience with modern tools. We’re technology agnostic, and we’re open minded when it comes to your existing skillset.     

Lead Data Engineer

Aker Systems

Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations.  We build and operate ground-breaking, ultra-secure, high performance, cloud-based data infrastructure for the enterprise. Our proprietary technology solutions drive performance and reduce costs while helping our clients to improve the management and sharing of data across their organisations. In 2024, Aker Systems won the Breakthrough Culture Awards highlighting growth companies putting culture first. In 2020 Aker Systems was recognised as a ‘One to Watch’ on the Sunday Times Tech Track.  The Company was also recognised at the Thames Valley Tech Awards 2020; winning the Thames Valley Tech Company of the year, the Emerging Tech Company and High Growth Tech Business categories.  We encourage people of all different backgrounds and identities to apply.  We are committed to maintaining an inclusive, and supportive place for you to do your very best work. We are seeking an experienced and hands-on Lead Data Engineer to design, build and evolve secure, scalable data platforms for clients across the UK Public Sector and Utilities sectors. You will work closely with architects, engineers and client stakeholders to deliver modern cloud-based data solutions that support operational, analytical and AI-driven use cases. The role combines technical leadership with hands-on engineering, helping clients modernise their data estates while ensuring solutions are secure, reliable and scalable. Working across multiple projects, you will lead the development of batch and real-time data pipelines, support architectural decision-making, and help establish engineering best practices across delivery teams. Strong experience with real-time streaming technologies is essential. Key Responsibilities * Lead the design, development and deployment of secure, scalable data pipelines and data platform components. * Design and implement batch and real-time streaming solutions using modern event-driven architectures. * Own technical design decisions across projects, balancing scalability, security, performance and delivery requirements. * Lead technical workshops, discovery sessions and architecture discussions with client stakeholders. * Assess existing client data platforms and design practical approaches for modernisation, migration and integration. * Build and maintain data ingestion, transformation and integration capabilities across a variety of data sources. * Develop cloud-native data platforms using AWS services and open-source technologies. * Ensure data quality, governance, lineage and security requirements are embedded throughout the data lifecycle. * Drive engineering best practices including code reviews, automated testing, CI/CD and Infrastructure as Code. * Support multiple client engagements, helping delivery teams maintain consistent engineering quality and standards. * Mentor and support engineers across project teams, providing technical guidance and leadership. * Perform data modelling, performance tuning and root cause analysis to resolve complex data and platform issues. Essential Skills & Experience Real-Time Streaming & Data Engineering * Strong commercial experience designing and implementing real-time streaming data platforms. * Hands-on experience with technologies such as Apache Kafka, AWS Kinesis, Apache Flink, Spark Streaming, Apache Pulsar, or similar event-driven technologies. * Experience building high-volume, low-latency, resilient data pipelines in production environments. * Strong understanding of modern data engineering patterns, including batch, streaming and hybrid architectures. Data Engineering & Databases * Extensive experience developing and operating enterprise-scale data platforms. * Strong SQL skills and experience designing data models for analytical and operational workloads. * Proficiency in Python or other modern programming languages used for data engineering. * Experience configuring, tuning and optimising relational and NoSQL databases. Cloud & Software Engineering * Strong experience working with AWS cloud services, including EC2, RDS, Lambda, Athena, Glue, S3 and IAM. * Experience working within Agile delivery environments. * Strong understanding of Test-Driven Development (TDD) and automated testing practices. * Experience implementing CI/CD pipelines and engineering automation. * Strong understanding of Infrastructure as Code principles. * Experience using version control systems such as Git. Regulated Environments * Experience delivering technology solutions within UK Public Sector, Utilities, Energy, Water, Financial Services or other highly regulated industries. * Understanding of security, governance and compliance considerations within regulated environments. Desirable Skills * Experience with Terraform. * Experience with Docker and Kubernetes. * Knowledge of Ansible and Packer. * Linux and Windows administration experience. * Experience supporting AI, machine learning or advanced analytics platforms. * Experience working on programmes requiring UK Government security clearance. What We're Looking For * Strong technical leadership and problem-solving skills. * Ability to communicate effectively with both technical and non-technical stakeholders. * Experience working in complex, regulated environments. * A collaborative approach and willingness to support and mentor others. * A focus on delivering practical solutions that create value for clients. * A passion for building reliable, scalable and secure data platforms. Education Bachelor’s degree in computer science, Software Engineering, Data Engineering, Mathematics or a related technical discipline, or equivalent practical experience. Aker Systems Attributes At Aker we work as a team; we are collaborative, hardworking, open, and delivery obsessed. There is no blame culture here: try things, and take responsibility for the outcomes. You are always part of the wider Aker. We help our colleagues and take pride in successfully achieving difficult tasks. We run towards problems and help to solve them. Communicate always, do so accurately and in a timely fashion. In return, we offer a competitive salary, 25 days holiday plus bank holidays, company paid medical insurance and life assurance, pension scheme, annual training allowance, wellbeing allowance, virtual GP, Employee Assistance plan and more. Equal Opportunities Aker Systems fosters a diverse environment that encourages openness in its communications and is committed to providing equal employment opportunity for all people regardless of race, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics. We embrace differences of opinion and diversity because they help challenge us and find new groundbreaking technical solutions.

Lead Data Engineer

Alma

🧡 ABOUT ALMA At Alma, we believe sustainable commerce depends on fair, well-balanced trade. Because finance plays a pivotal role in business, our mission is to put it back in its rightful place - serving merchants and consumers. Our installment and deferred payment solutions help merchants boost sales by 20% or more, increase customer loyalty, and deliver a seamless shopping experience - without encouraging bad debt. As the buy now pay later leader in France and active in 10 European countries, we've empowered over +25,000 merchants and 10 million consumers. With 380+ Almakers and €100M+ ARR, Alma is scaling rapidly across Europe as a member of the Next40, and we're just getting started!   👐 ABOUT THE TEAM You will join the Data Engineering team, which is moving closer to the Platform organization to strengthen collaboration with SRE and Software Engineering and improve SLA standards on the data platform.  You will report to Jonathan, Engineering Manager of the SRE team, and work within a broader data community of 3 Central Data Analysts, 2 Product Data Analysts, 6 Business Analysts, and a 5-person AI team. This position is a permanent contract (CDI) based in Paris.   💼 ABOUT THE JOB Own and scale the data platform * Build, maintain, and improve our data warehouse, transformation layer, and platform architecture (including the critical link between PostgreSQL and our GCP data lake) to make our stack faster, more reliable, and more resilient. Raise engineering standards across the data stack * Drive CI/CD practices, staging environments, automated testing, infrastructure-as-code (Terraform), access management, and release management — bringing a platform engineering mindset to data. Ensure observability and platform reliability * Lead incident management, data quality monitoring, lineage, and documentation efforts to ensure the platform remains trustworthy and easy to operate for analysts, product teams, and AI practitioners. Shape technical decisions and enable the team * Take ownership of complex architectural decisions (including tooling audits, e.g. Datastream), * Contribute to AI data use cases (BigQuery integrations with tools like Dust, Claude Code, and Nao), * Mentor other data practitioners on engineering best practices, * Share knowledge, document decisions, and contribute to raising engineering standards across the team.   🧰 YOU WILL WORK WITH GCP, BigQuery, PostgreSQL, Cloud SQL, Terraform, Kubernetes, Argo Workflow, Airflow, AirByte, dbt, Python, GitHub, CI/CD, Looker, Metabase   🧩 ABOUT YOU To succeed in this job * 6+ years of experience as a Data Engineer, ideally in a fast-growing tech environment, with hands-on experience building and maintaining modern data platforms and orchestration workflows * Strong command of cloud infrastructure, infrastructure-as-code (Terraform), Kubernetes, and Python — you're comfortable owning both the data and the platform layer * Analytical mindset with a strong capacity to challenge the status quo — you don't just build, you question whether we're building the right thing * Fluency in French and English   And it will be nice if you also * Have specific experience with GCP and BigQuery at scale * Have worked with dbt for data transformation * Have experience operating in or alongside an SRE or Platform Engineering culture   Don't meet every single requirement? At Alma, we believe great hires come from diverse paths. If this role excites you, we encourage you to apply. We value potential, curiosity and the ability to grow as much as experience.   🧘 WHAT'S IN IT FOR YOU If you join, you will be able to grow and impact on: * A pivotal moment for data at Alma — you'll join as the team transitions toward Platform, with a mandate to audit and reshape the stack, not just maintain it. * End-to-end ownership — from architectural decisions on the PostgreSQL-to-GCP pipeline to enabling AI use cases with BigQuery, this is a high-autonomy, high-visibility role. * Cross-functional leverage — your work will directly improve the productivity of a 20+ person data community and fuel better decisions across the entire company.   🤑 COMPENSATION & BENEFITS * Competitive salary based on 12 months * Profit-sharing and employee savings plan * Health insurance: 100% covered by Alma including family package * Disability insurance: 100% covered by Alma * Sport: partnerships with Gymlib and Classpass, or €30/month reimbursement for your sports activities * Maternity/paternity leave: salary maintained at 100% during leave with no seniority requirement. Return to work at 4/5 schedule paid at 100% for 8 weeks. * Sustainable Mobility Package (FMD): €544.80/year (excluding full-remote contracts) * Meal vouchers: €10/day, 50% covered by Alma * Mental health: free access to MindDay platform * Paid time off: 25 days/year (+ additional paid leave granted for employees on executive contracts) * Access to our Learning & Development Platform * 2 weeks of full remote possible per year in summer   🎯 INTERVIEW PROCESS * Video call with a Talent Acquisition team member to understand your path, motivation & present you the role. * Video call with your future manager to deep dive the role, the team, your profile and answer all your questions. * Take-home assignment followed by a case study presentation with team members to assess your practical knowledge. * Coffee chat with future cross-functional collaborators to assess team fit.   🌍 DIVERSITY & INCLUSION At Alma, we believe that diversity fuels innovation and makes our community stronger. We are committed to building a workplace where every person feels seen, respected, and empowered to do their best work whatever their gender, background, ethnicity, age, sexual orientation, religion, disability or lived experience. As an equal opportunity employer, we welcome applicants from all walks of life, and all employment decisions are made based on qualifications, merit, and business needs.