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
Responsibilities
- 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, shapefiles), 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.
Qualifications
- 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