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Senior Data Engineer

Montash
City of London
1 month ago
Applications closed

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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.

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