Method Resourcing
Senior Data Engineer
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Senior Data Engineer | Databricks | Azure | Python | SQL
West London (Hybrid - 3 days per week onsite)
Up to £72,000 + 10% Bonus + Excellent Benefits
We're looking for a Senior Data Engineer to join a growing data platform team responsible for building scalable, cloud-native data solutions that power business-critical analytics across a global organisation.
This is a hands-on engineering role focused on designing, building and optimising modern data pipelines using Databricks, Azure and Python. You'll work with large-scale datasets, modern lakehouse architecture and distributed data processing, helping to deliver trusted, governed data products used across the business.
Key Responsibilities
- Designing and building scalable ETL/ELT pipelines using Databricks and Azure
- Developing robust data solutions using Python, PySpark and SQL
- Building and optimising Delta Lake and Lakehouse architectures
- Working with Azure Data Factory, Azure Storage and modern cloud data platforms
- Designing high-quality, reusable data models for enterprise analytics
- Improving performance, reliability and scalability across production data pipelines
- Implementing data quality, governance and monitoring best practices
- Working closely with architects, engineers and business stakeholders to deliver production-ready data solutions
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Required Skills/Experience
- Strong commercial Data Engineering experience
- Databricks
- PySpark
- Python
- SQL
- Azure Data Factory
- Azure Data Platform
- Building production ETL/ELT pipelines
- Data modelling
- Performance optimisation
- Distributed data processing
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Nice to have
- Experience working with customer, CRM or marketing datasets would be beneficial, particularly with platforms such as Salesforce, GA4 or similar, but this is by no means essential.
Why join?
You'll be joining a team investing heavily in its modern Azure data platform, working with large-scale datasets, modern engineering practices and some of the latest technologies in the Microsoft ecosystem. This role offers genuine ownership, interesting technical challenges and the opportunity to influence the future direction of the data platform.
(No visa sponsorship available)
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