Data Engineer

Technopride Ltd; Greater London; Remote; GBP 50,000 - 70,000; Full time

Job summary

A leading IT services provider in the UK is seeking a Data Engineer for Advanced Analytics to join a contract role focused on building secure data transformation pipelines. The ideal candidate will have a strong background in SQL and Python, with experience in geospatial data processing and public datasets. This position offers the flexibility of remote work and an exciting opportunity to work on impactful data projects.

Qualifications

• Strong Data Engineer with experience in data transformation workstreams.
• Advanced SQL knowledge for profiling and performance tuning.
• Proficient in Python for automation and data quality checks.

Responsibilities

• Build secure and repeatable data ingestion and transformation pipelines.
• Implement data cleansing rules and produce reproducible outputs.
• Work with geospatial data and apply geographical context in data processing.

Skills

Data Transformation

SQL

Python

Geospatial Data

Data Wrangling

Data Visualization

Tools

MySQL

Pandas

Spark

Azure Data Factory

Job description

London, United Kingdom | Posted on 04/03/2026

We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market.

Job Description

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 [e-mail]

Skill in SF - SME - Logical DBA, MySQL

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.

Capability in data transformation-heavy pipelines from data-profiling to cleansing to 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, 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) Experience with modern data tooling (for example, Spark, Azure Data Factory) or ability to implement equivalents with code.

Proven experience working with geospatial data, including handling spatial formats (e.g., vector, raster, GeoJSON, shapefiles), coordinate reference systems, and spatial analysis workflows 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

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)

Able to build rules for completeness/validity/consistency, implement exception handling"