Data Engineer

We are looking to hire Data Engineer
- Advanced Analytics role for one of our renowned IT client in UK. This is a contract role and remote working. If interested, please share your CV at

• Build secure, repeatable data ingestion and transformation pipelines.
• Implement data cleansing rules and produce auditable, reproducible outputs.
• Establish Import/export patterns, handle data extracts, schema discovery, incremental loads, and multiple source instances.
• Capability in data transformation-heavy pipelines from data profiling to cleansing, standardization, conformance, and publishing.
• Advanced knowledge of SQL for profiling, joins/merges, deduplication, anomaly detection, and performance tuning.
• Scripting knowledge in Python for automation, parsing, rules engines, data quality checks, and writing maintainable code. Experience with data wrangling (Pandas, Polars), modelling (scikit-learn), and visualization (matplotlib).
• Experience with modern data tooling (e.g., Spark, Azure Data Factory) or equivalent code implementation.
• Proven experience working with geospatial data, including spatial formats (vector, raster, GeoJSON, shape files), coordinate reference systems, and spatial analysis workflows.
• Ability to interpret and apply geographical context in data processing pipelines, aggregating, upscaling, or translating local/regional geospatial insights into national or regional-level datasets and analytical outputs.
• Experience with publicly available official datasets, particularly Office for National Statistics (ONS) open data products (census boundaries, geographic lookups, deprivation indices, or mid-year population estimates).
• Able to build rules for completeness/validity/consistency, and implement exception handling.

• Skill in SF - SME - Logical DBA, MySQL.
• Strong SQL, Python, and data tooling experience.
• Geospatial data expertise.
• Experience with official datasets such as ONS open data.

Work location:

London / Remote

Eligible for BPSS