Data Engineer; FTC

Directorate:
Strategy & Innovation
Contract Type: 18 Months Fixed Term Contract

Hours:

36
Salary: 48,003 - 53,172

Location:

Colindale
Closing Date:
Midnight March 9th 2026

Barnet is a borough with much to be proud of. Our excellent schools, vibrant town centres, vast green spaces and diverse communities all help make it a great place to live and work. As a council we want to build on these strengths as we move into the future. We are growing and developing as an organisation to meet the challenges facing our borough and we are committed to working with partner organisations and residents to make Barnet even better.

As an organisation, our staff are committed to Our Values:
Learning to Improve, Caring, Inclusive, Collaborative – which drive everything we do.

This is an exciting time to join Barnet as we grow our Digital, Data and Technology (DDaT) capabilities and accelerate our digital transformation journey. We're investing in smarter services, better use of data, modern technology, and you'll play a key part in shaping this future.
We're looking for a Data Engineer to join our Insight & Intelligence Hub, working with a talented team to help design, build and maintain the data infrastructure that powers our analytics, AI and insight functions.
You will work across the organisation to integrate complex datasets, improve data quality, and create robust data pipelines that enable our analysts and data scientists to deliver high‑value insight for services and residents.
This is a hands‑on technical role where you'll work with modern cloud technologies, large‑scale data systems and cutting‑edge tools to support predictive analytics, machine learning initiatives and enterprise reporting.
If you're excited by engineering challenge, modern data platforms and solving real‑world problems, you'll be a great fit.
This is a hybrid role. You will be expected to attend monthly in‑person team days in our Colindale office.
We also come into the office to meet service stakeholders, work together on collaboration, discovery and user testing sessions and department days.
Please  to download the Job description for this role.

You're an experienced and adaptable data engineering professional who enjoys creating well‑designed, efficient and reliable data solutions. You're comfortable working with complex systems, experimenting with new tools and collaborating with colleagues across technical and non‑technical teams.

• Strong hands‑on experience with modern data engineering tools and practices, including ETL/ELT, data warehousing and data modelling.
• Expertise in cloud data platforms, ideally Azure services such as Data Factory, Synapse, Databricks, Spark or Snowflake.
• Proficiency in Python, SQL and other relevant languages for building pipelines and enabling automation.
• Experience building and managing production data services, integrating data from multiple systems, and improving data quality.
• Understanding of data governance, security, information management and UK GDPR.
• The ability to communicate complex technical concepts clearly for non‑specialist audiences.
• A collaborative and proactive approach, with confidence leading projects, supporting partners and driving continuous improvement.

• Develop and maintain the council's Microsoft Azure Data Platform, supporting cloud‑ready, scalable analytics.
• Build and optimise data pipelines, APIs and integrations across on‑premise, cloud and supplier‑hosted systems.
• Extract, clean, transform and combine data from a wide range of operational systems to create high‑quality datasets for insight and machine learning.
• Work with data scientists to design and maintain pipelines for AI/ML models, including supporting feature engineering, labelling and large‑scale data flows.
• Automate manual data processes to improve speed, reliability and accessibility of insight.
• Lead data engineering projects, including working with external suppliers and supporting more junior colleagues.
• Implement and maintain data lakehouse architectures, master data management and metadata repositories.
• Ensure that data workflows comply with security, privacy and governance…