Senior Data Engineer in Databricks

Akkodis; Manchester; Hybrid; GBP 68,000 - 80,000; Full time

Job summary

A leading technology firm in Manchester seeks a Senior Data Engineer to drive data transformation in the financial services sector. You will lead and mentor a small team, design modern data pipelines using Databricks and Azure, and influence the technical direction of the team. An attractive package of up to £80,000 plus benefits is offered for this hybrid role requiring strong data engineering skills and experience.

Benefits

Car Allowance

Bonus

Benefits

Qualifications

• Proven technical leadership in data engineering teams.
• Deep experience with Databricks, Azure, SQL, ideally Python.
• Strong understanding of MDM, semantic modeling, and Unity Catalog.

Responsibilities

• Lead and mentor two Data Engineers, providing technical guidance.
• Design and deploy modern data pipelines using Databricks and Azure.
• Transform unstructured external data into clean, business-ready models.

Skills

Data engineering leadership

Databricks

Azure

SQL

Python

Terraform

Job description

Senior Data Engineer in Databricks - Lead the Future of Data in Financial Services

Location: Hybrid 2-3 days/week on site

Offices: Banbury, Milton Keynes, Bedford, Northampton, Manchester

Salary: Up to 80,000 + Car Allowance + Bonus + Benefits

Note: Visa sponsorship is not available for this role.

Be the Technical Leader in a Bold Data Transformation

Our client is entering a pivotal phase in its data journey. With a new Head of Data already in place and a Data Architect joining shortly, the business is investing in a modern, scalable data platform to turn messy, complex client data into trusted, actionable insights.

As Senior Data Engineer, you'll be the technical lead driving this transformation. You'll mentor two engineers, shape platform architecture, and embed best practices across the team. This is a hands‑on leadership role for someone who thrives in small, agile environments and wants to make a real impact.

Key Responsibilities

• Lead and mentor two Data Engineers, providing technical guidance and coaching.
• Design and deploy modern data pipelines using Databricks and Azure.
• Transform unstructured external data into clean, business‑ready models.
• Build semantic layers and embed Unity Catalog for robust data governance.
• Guide the team in taking Databricks from development to production.
• Support Terraform adoption and infrastructure‑as‑code practices.

Why This Role Stands Out

• Leadership and impact: Influence technical direction, team culture, and delivery standards.
• Modern tech stack: Azure, Databricks, Unity Catalog, SQL, Python, Terraform.
• Attractive package: Up to 80k base + car allowance + bonus + benefits.
• Hybrid working: Offices across the South East and North West, with 2-3 days/week onsite.

What We're Looking For

• Proven technical leadership in data engineering teams.
• Deep experience with Databricks, Azure, SQL, and ideally Python.
• Strong understanding of MDM, semantic modeling, and Unity Catalog.
• Ability to handle messy, unstructured data and build scalable solutions.
• Comfortable mentoring and guiding a small, agile team.
• Finance sector experience is a bonus-but not essential.

Interview Process

1. Initial coffee chat to explore team fit and technical challenges.
2. Technical interview covering Databricks, MDM, semantic layers, pipeline design, and governance.

This is a rare opportunity to lead, build, and shape the future of data in a growing financial services business.

Ready to make your mark? Let's talk.

Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.

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