

ST Global Tech LLC
Logical DBA, MySQL - Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Logical DBA, MySQL - Data Engineer on a long-term contract, paying 200 GBP/day inside IR35. Key skills include advanced SQL, Python scripting, and geospatial data experience. Must be a UK citizen. Remote work based in London, UK.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
200
-
ποΈ - Date
March 10, 2026
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
Inside IR35
-
π - Security
Unknown
-
π - Location detailed
London Area, United Kingdom
-
π§ - Skills detailed
#Data Quality #Data Wrangling #Datasets #ADF (Azure Data Factory) #Pandas #Spatial Data #Scripting #Python #SQL (Structured Query Language) #Matplotlib #Visualization #Anomaly Detection #Statistics #Azure #Data Processing #MySQL #Data Engineering #Azure Data Factory #Data Cleansing #"ETL (Extract #Transform #Load)" #Spark (Apache Spark) #Data Ingestion #DBA (Database Administrator) #Automation
Role description
Logical DBA, MySQL - Data Engineer
Location: London, UK - Remote
Long-term Contract
Rate: 200 GBP/Day Inside IR35
Must be UK Citizen
A strong Data Engineer is required to work on the Data Transformation workstream within Client\`s Digital Screening. The core focus of this role is to build secure, repeatable data ingestion and transformation pipelines, to implement data cleansing rules, and to produce auditable, reproducible outputs.
ο· Establish Import/export patterns, handling data extracts, schema discovery, incremental loads, handling multiple source instances
ο· Capability in data transformation-heavy pipelines from data-profiling to cleansing to standardization, conformance and publishing ο· Advanced knowledge of SQL for profiling, joins/merges, deduplication, anomaly detection, and performance tuning
ο· Scripting knowledge in Python for automation, parsing, rules engines, and data quality checks, ability to write maintainable code. Experience using Python packages for data wrangling (e.g. Pandas, Polars), modelling (e.g. scikit-learn) and visualization (e.g. matplotlib) ο· Experience with modern data tooling (for example, Spark, Azure Data Factory) or ability to implement equivalents with code.
ο· Proven experience working with geospatial data, including handling spatial formats (e.g., vector, raster, GeoJSON, shapefiles), coordinate reference systems, and spatial analysis workflowsο· Strong ability to interpret and apply geographical context in data processing pipelines, with demonstrated capability to aggregate, upscale, or translate local/regional geospatial insights into broader national or regional-level datasets and analytical outputs
ο· Experience working with publicly available official datasets, particularly Office for National Statistics (ONS) open data products (e.g.,census boundaries, geographic lookups, deprivation indices, or mid-year population estimates)
ο· Able to build rules for completeness/validity/consistency, implement exception handling"
Logical DBA, MySQL - Data Engineer
Location: London, UK - Remote
Long-term Contract
Rate: 200 GBP/Day Inside IR35
Must be UK Citizen
A strong Data Engineer is required to work on the Data Transformation workstream within Client\`s Digital Screening. The core focus of this role is to build secure, repeatable data ingestion and transformation pipelines, to implement data cleansing rules, and to produce auditable, reproducible outputs.
ο· Establish Import/export patterns, handling data extracts, schema discovery, incremental loads, handling multiple source instances
ο· Capability in data transformation-heavy pipelines from data-profiling to cleansing to standardization, conformance and publishing ο· Advanced knowledge of SQL for profiling, joins/merges, deduplication, anomaly detection, and performance tuning
ο· Scripting knowledge in Python for automation, parsing, rules engines, and data quality checks, ability to write maintainable code. Experience using Python packages for data wrangling (e.g. Pandas, Polars), modelling (e.g. scikit-learn) and visualization (e.g. matplotlib) ο· Experience with modern data tooling (for example, Spark, Azure Data Factory) or ability to implement equivalents with code.
ο· Proven experience working with geospatial data, including handling spatial formats (e.g., vector, raster, GeoJSON, shapefiles), coordinate reference systems, and spatial analysis workflowsο· Strong ability to interpret and apply geographical context in data processing pipelines, with demonstrated capability to aggregate, upscale, or translate local/regional geospatial insights into broader national or regional-level datasets and analytical outputs
ο· Experience working with publicly available official datasets, particularly Office for National Statistics (ONS) open data products (e.g.,census boundaries, geographic lookups, deprivation indices, or mid-year population estimates)
ο· Able to build rules for completeness/validity/consistency, implement exception handling"






