Identify Solutions
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a 3-month remote contract, paying £450-£470 per day. Key skills include Azure Databricks, Python, SQL, and geospatial data processing. Public sector experience is essential; SC eligibility required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
464
-
🗓️ - Date
June 12, 2026
🕒 - Duration
3 to 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Outside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#PySpark #"ETL (Extract #Transform #Load)" #Data Pipeline #Agile #Data Governance #Python #Spark SQL #Databricks #SQL (Structured Query Language) #Data Processing #ADaM (Analysis Data Model) #Spatial Data #Scala #Data Ingestion #Cloud #API (Application Programming Interface) #Monitoring #Delta Lake #Azure Databricks #Azure #Spark (Apache Spark) #Version Control #Data Engineering
Role description
Data Engineer
Duration: 3 Months
Location: Remote
Rate: £450 - £470 per day DOE
Status: OUTSIDE IR35
Clearance: Eligible for SC
Start Date: ASAP
Summary:
My market leading client are looking to secure the services of a contract based Data Engineer to assist with critical project work over the coming months. Ideally coming from a consultancy background with extensive experience working in secure and regulated environments. Experience and knowledge of working in a public sector environment is essential.
Key Responsibilities
• Strong stakeholder engagement and collaboration.
• Design, build and maintain scalable data pipelines.
• Develop using Azure Databricks (PySpark, Spark SQL, Python).
• Contribute to Lakehouse architecture (Delta Lake patterns, Databricks capabilities).
• Build and manage workflows (Databricks Workflows, Delta Live Tables).
• Implement data governance (Unity Catalog – access, discovery, control).
• Support analytics/reporting using Databricks SQL.
• Ingest and transform API, structured, semi-structured and geospatial data.
• Write clean, testable, maintainable code.
• Contribute to agile delivery (ceremonies, peer reviews, planning).
Key Skills & Experience
• Strong Data Engineering experience with Azure Databricks.
• Proven delivery of production-grade data pipelines.
• Strong Python, SQL, PySpark and Spark SQL capability.
• Experience with Lakehouse / modern data platform design.
• Hands-on with Databricks tools (Unity Catalog, Workflows, Delta Live Tables, Databricks SQL).
• Data ingestion from APIs and external sources.
• Geospatial data processing experience (real-world use cases).
• Experience with geospatial formats (Shapefile, GeoParquet, GeoPackage, GeoTIFF).
• Knowledge of Apache Sedona or similar frameworks.
• Understanding of data modelling, quality, monitoring and optimisation.
• Experience with version control, CI/CD and cloud environments.
• Strong analytical and problem-solving skills.
If you’d like more information on the assignment, please drop me an email Adam.Rees@IdentifySolutions.co.uk – or give me a call on 07400 28 3333.
Data Engineer
Data Engineer
Duration: 3 Months
Location: Remote
Rate: £450 - £470 per day DOE
Status: OUTSIDE IR35
Clearance: Eligible for SC
Start Date: ASAP
Summary:
My market leading client are looking to secure the services of a contract based Data Engineer to assist with critical project work over the coming months. Ideally coming from a consultancy background with extensive experience working in secure and regulated environments. Experience and knowledge of working in a public sector environment is essential.
Key Responsibilities
• Strong stakeholder engagement and collaboration.
• Design, build and maintain scalable data pipelines.
• Develop using Azure Databricks (PySpark, Spark SQL, Python).
• Contribute to Lakehouse architecture (Delta Lake patterns, Databricks capabilities).
• Build and manage workflows (Databricks Workflows, Delta Live Tables).
• Implement data governance (Unity Catalog – access, discovery, control).
• Support analytics/reporting using Databricks SQL.
• Ingest and transform API, structured, semi-structured and geospatial data.
• Write clean, testable, maintainable code.
• Contribute to agile delivery (ceremonies, peer reviews, planning).
Key Skills & Experience
• Strong Data Engineering experience with Azure Databricks.
• Proven delivery of production-grade data pipelines.
• Strong Python, SQL, PySpark and Spark SQL capability.
• Experience with Lakehouse / modern data platform design.
• Hands-on with Databricks tools (Unity Catalog, Workflows, Delta Live Tables, Databricks SQL).
• Data ingestion from APIs and external sources.
• Geospatial data processing experience (real-world use cases).
• Experience with geospatial formats (Shapefile, GeoParquet, GeoPackage, GeoTIFF).
• Knowledge of Apache Sedona or similar frameworks.
• Understanding of data modelling, quality, monitoring and optimisation.
• Experience with version control, CI/CD and cloud environments.
• Strong analytical and problem-solving skills.
If you’d like more information on the assignment, please drop me an email Adam.Rees@IdentifySolutions.co.uk – or give me a call on 07400 28 3333.
Data Engineer
