Data Engineer - Databricks / AI in London

Data Engineer - Databricks / AI in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Jacobs

At a Glance

  • Tasks: Design and build robust data platforms using Azure and Databricks.
  • Company: Join Jacobs, a leader in innovative solutions for global challenges.
  • Benefits: Enjoy flexible working, well-being benefits, and global opportunities.
  • Other info: Embrace a hybrid work environment with a focus on inclusion and mental health.
  • Why this job: Make a real impact by transforming data into actionable insights.
  • Qualifications: Experience with SQL, Python, and modern data modelling techniques.

The predicted salary is between 60000 - 80000 £ per year.

At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission‑critical outcomes, operational advancement, scientific discovery and cutting‑edge manufacturing, turning abstract ideas into realities that transform the world for good.

Your impact

Enjoy designing elegant data systems, shipping production‑grade code, and seeing your work make a measurable difference.

Responsibilities

  • Design and build robust data platforms and pipelines on Azure and Databricks (batch + streaming) using Python/SQL, Spark, Delta Lake, and Data Lakehouse patterns.
  • Develop AI‑enabling foundations: feature stores, ML‑ready datasets, and automated model‑serving pathways (MLflow, model registries, CI/CD).
  • Own quality & reliability testing (dbx/pytest), observability (metrics, logging, lineage), and cost/performance optimisation.
  • Harden for enterprise security‑by‑design, access patterns with Unity Catalog, data governance, and reproducible environments.
  • Automate the boring stuff: Ia C (Terraform/Bicep), CI/CD (Azure Dev Ops/Git Hub Actions), and templated project scaffolding.
  • Partner with clients to translate business problems into technical plans, run workshops, and present trade‑offs with clarity.
  • Ship value continuously: iterate, review, and release frequently; measure outcomes, not just outputs.

Qualifications

  • Utilising SQL and Python for building reliable data pipelines.
  • Hands‑on with Spark (preferably Databricks) and modern data modelling (Kimball, Inmon, Data Vault, lakehouse).
  • Experience running on a cloud data platform (ideally Azure) with sound software delivery practices: Git, CI/CD, testing, Agile ways of working.
  • Streaming/event‑driven designs (Event Hubs, Kafka, Structured Streaming).
  • MPP/Data Warehouses (Synapse, Snowflake, Redshift) and No SQL (Cosmos DB).
  • ML enablement: feature engineering at scale, MLflow, basic model lifecycle know‑how.
  • Infrastructure‑as‑code (Terraform/Bicep) and platform hardening.

Benefits & Working Environment

Joining Jacobs gives you access to flexibility, safety, and global opportunities.

We support flexible working arrangements, well‑being benefits, our global giving and volunteering program, and innovative ways to help our clients make the world a better place.

We value inclusion, belonging, and positive mental health and have initiatives such as Jacobs Employee Networks and Communities of Practice.

We encourage hybrid working with the option to split your week between office and remote.

Jacobs partners with VERCIDA to help attract and retain talent from a wide range of backgrounds.

For greater online accessibility, visit https://www. vercida. com/uk/employers/jacobs.

Find out more about life at Jacobs and our employee networks.

Equal Opportunity Employer

Jacobs is a disability‑confident employer and welcomes applications from candidates who may not meet all specified requirements.

We support reasonable adjustments for the recruitment process upon request.

We empower employees with a hybrid working policy, allowing them to split their work week between Jacobs offices/projects and remote locations.

Your application experience is important to us, and we’re keen to adapt to make every interaction even better.

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Data Engineer - Databricks / AI in London employer: Jacobs

At Jacobs, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous professional development opportunities and mentorship programmes, ensuring that our team members thrive in their careers while making a meaningful impact on global water quality initiatives. Located in a vibrant environment, we provide a unique chance to engage with high-profile projects that not only challenge the status quo but also contribute to sustainable solutions for communities and ecosystems.

Jacobs

Contact Details:

Jacobs Recruitment Team

We think you need these skills to ace Data Engineer - Databricks / AI in London

Data Engineering
Azure
Databricks
Python
SQL
Spark
Delta Lake