Senior Data Engineer | Modern Data Platforms | AWS | Generative AI

Location: Flexible London-based | Hybrid

No sponsorship

Are you passionate about shaping the future of data infrastructure and driving digital transformation? We’re partnering with a leading organisation at the forefront of innovation, leveraging cutting-edge technologies to modernise their data landscape and build next-generation data platforms.

They’re now looking for an experienced Senior Data Engineer to join a forward-thinking team and play a key role in advancing their cloud and analytics capabilities across multiple business domains, including Finance, Regulatory, Legal and Sustainability.

What You’ll Be Doing

• Design, develop, test and support robust data-driven solutions that enable smarter decision-making across the business.
• Translate business requirements into scalable technical solutions, working closely with architects and cross-functional teams.
• Build sophisticated reporting solutions and drive the adoption of generative AI to enable intuitive self-service analytics.
• Enhance data engineering processes through automation, CI/CD pipelines and optimized ETL/ELT workflows.
• Experiment with new tools, technologies and approaches to support the organisation’s analytics and insights strategy.
• Provide ongoing support for data products, including incident management and defining key performance metrics.
• Collaborate on new data initiatives from the earliest stages, working across multiple technical teams to bring ideas to life.
• Contribute to proof-of-concept evaluations of emerging technologies and present findings to leadership teams.

What You’ll Bring

• Proven experience in data engineering, with a strong track record building AWS cloud data pipelines and data warehouses.
• Solid understanding of AWS services such as S3 and Redshift, particularly around storage, computation and security.
• Familiarity with modern BI tools such as Power BI or AWS QuickSight.
• Experience with open-source data stack tools like Airflow, DBT, Airbyte or similar.
• Strong grasp of software development best practices and CI/CD processes.
• Skilled in performance tuning, testing, and automation within data engineering environments.
• Excellent communication skills, with the ability to influence and collaborate effectively with stakeholders across teams.

Why Join

You’ll be joining a data-driven environment where experimentation is encouraged, ideas are valued, and your work will directly shape the organisation’s analytics strategy. If you thrive in a modern cloud-first environment and love solving complex data challenges, this is an exciting opportunity to make a real impact.