Senior Data Engineer – Migration & Modernisation (Europe)
Global Data Engineering Organisation | Financial Services
* £70,000-£80,000 + package
* Basildon (4 days a week on site)
* On-site parking available
Are you an experienced Data Engineer with strong cloud experience in GCP, Azure, or AWS?
This is an exciting opportunity to join a global data engineering organisation delivering one of Europe’s most significant data platform modernisation programmes. You’ll help migrate complex legacy data systems to a modern cloud environment, design and optimise data pipelines, and shape scalable solutions that support the organisation’s growth and digital innovation strategy.
This will be a new role joining an already well-established data engineering team of 12 who are big on in person collaboration. The role is four days a week on site but does allow for flexibility on your time in if you are travelling further or have to do the school runs. As a Senior there is an expectation for you to have the ability to lead on projects whilst also supporting the development of future more junior engineers.
Experience working with GCP would be preferable but if you do come from an Azure/AWS environment and have the ability to work with GCP that is fine.
As a Senior Data Engineer focused on migration and transformation, you will:
* Support and lead the transition from legacy data systems into a modern cloud platform (GCP/Azure/AWS).
* Design, build, and optimise production-grade data pipelines and cloud-native data engineering solutions.
* Develop reusable data patterns and implement automated data lineage and scalable architectures.
* Contribute to the migration from on-premise systems (e.g., Teradata) to a cloud environment, ensuring performance, robustness, and regulatory compliance.
* Work closely with teams across Europe, the UK, US, and India to ensure alignment with global engineering standards.
* Oversee code reviews, data validation, parallel testing, and downstream consumption cutover.
✔️ Essential Experience & Skills
* 3–5 years’ experience in data engineering, including data warehousing, ETL, and data modelling
* Strong SQL development background
* 3+ years of cloud engineering experience with GCP, Azure, or AWS (any major cloud platform accepted)
* Experience designing and building batch and real-time data pipelines
* Strong understanding of cloud data services (e.g., BigQuery, Dataflow, DataFactory, Databricks, Glue, Redshift, Synapse, etc.)
* Knowledge of data security, governance, and compliance best practices
* Experience with microservice architectures and containerised environments
* Excellent communication skills and the ability to work collaboratively in a large, global team
* Proven ability to operate autonomously in high-ambiguity environments
* Relevant technical degree (or equivalent experience)
⭐ Desired Qualifications
* Cloud certifications (GCP, Azure, or AWS)
* Experience in a regulated or financial services environment
* Programming skills in Python, Java, or Apache Beam
* Familiarity with IaC tools (Terraform, CloudFormation, ARM)
* Experience guiding or mentoring other engineers
* Knowledge of data catalogue or governance tools (e.g., DataPlex, Informatica EDC)
* Experience with CI/CD pipelines (Git, Jenkins, etc.)