Data Engineer

Halian | Managed Services, Recruitment Agency & Contract Staffing; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Collaborative and engineering-led environment

Influence tooling and long-term strategy

Job summary

Halian, located in London, is seeking a skilled Data Engineer to own the rebuild of a modern data platform. You will transform legacy constraints into scalable, cloud-first architecture, utilizing tools like Databricks, Azure, and GCP.

This high-impact role includes mentoring engineers and setting technical standards, with an emphasis on building best-in-class data products. The ideal candidate will possess strong experience of over 5 years in data engineering and advanced skills in Python and SQL.

Qualifications

• 5+ years of strong experience in data engineering roles required.
• Hands-on experience with cloud platforms and legacy systems needed.
• Proven ability to troubleshoot critical data issues with urgency.

Responsibilities

• Transform legacy batch processes into scalable data pipelines.
• Build and deliver high-quality data products in line with architectural designs.
• Optimize pipelines and queries to improve performance and control cloud costs.

Skills

Python

SQL

Databricks

Azure

GCP/BigQuery

DevOps mindset

Strong communication

Education

Degree in Computer Science, Data Science, or related field

Job description

London – 1 or 2 days a week in London HQ

Own the rebuild of a modern data platform from the ground up.

We’re working with a business in the middle of a high-impact data transformation—moving away from legacy constraints towards a scalable, cloud-first architecture. They’re looking for a Data Engineer to take a leading role in that journey.

This isn’t a role where you inherit a polished environment. It’s an opportunity to shape, modernise, and influence—from refactoring legacy pipelines to building best-in-class data products using tools like Databricks, Azure, and GCP.

You’ll operate as the technical authority within the data function, setting standards, mentoring engineers, and working closely with both internal teams and external delivery partners.

The Role

• Transform legacy batch processes into scalable, observable data pipelines
• Build and deliver high-quality data products in line with architectural designs
• Work across modern cloud platforms including Databricks, Azure, and GCP

Engineering Leadership & Collaboration

• Act as the technical authority for third-party and contract engineers
• Contribute to engineering communities and help define best practices
• Drive adoption of global standards across security, performance, and code quality

Operational Performance

• Troubleshoot and resolve critical data issues with urgency
• Deliver long-term fixes rather than short‑term patches wherever possible
• Optimise pipelines and queries to improve performance and control cloud costs

Stakeholder Engagement & Mentorship

• Partner with Business Analysts to ensure data solutions deliver real value
• Mentor and support engineers through pairing and knowledge sharing
• Champion engineering excellence across the team

About You

• Degree in Computer Science, Data Science, or a related field (or equivalent experience)
• Strong experience (typically 5+ years) in data engineering roles
• Advanced skills in Python and SQL
• Hands‑on experience with Databricks, Azure, and GCP/BigQuery
• Proven ability to work across both legacy systems and modern cloud environments

Key Skills

• DevOps mindset – you automate wherever possible and write clean, testable code
• Pragmatic approach – focused on delivering value without overengineering
• Strong communicator – confident engaging with stakeholders across the business

Why Apply?

• High‑impact role with real ownership of platform direction
• Opportunity to modernise and shape a large‑scale data estate
• Work in a collaborative, engineering‑led environment
• Influence tooling, standards, and long‑term strategy