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Data Engineer Jobs

The backbone of modern data infrastructure. Building, maintaining, and optimising the pipelines that power data-driven decisions.

Open roles
220
Salary range
£30k – £150k
Hiring companies
114
View 220 live roles → Get an alert

Data Engineers are the architects and builders of the data infrastructure that underpins modern businesses. They design, build, and maintain the data pipelines, warehouses, and lakes that enable organisations to store, process, and analyse vast amounts of data. Whether working in scaleups, research-heavy startups, or the larger consultancies, Data Engineers play a crucial role in ensuring that data is accessible, reliable, and secure.

What the role does

Inside the role of a Data Engineer

A typical week for a Data Engineer is a mix of coding, testing, and collaboration with cross-functional teams.

  1. 01
    Design and implement data pipelines using tools like Apache Kafka and Apache Spark.
  2. 02
    Optimise data storage and retrieval processes for efficiency and scalability.
  3. 03
    Collaborate with data scientists and analysts to understand their data needs.
  4. 04
    Monitor and maintain data infrastructure to ensure high availability and performance.
  5. 05
    Document and communicate data architecture and processes to stakeholders.
  6. 06
    Troubleshoot and resolve data-related issues as they arise.
Salary on the board

£30k – £150k

Based on advertised midpoints across the 152 priced listings posted in the last 12 months. Base salary only.

By seniority
£k base
Entry
30
38
1 job
Junior
35
45
4 jobs
Mid
35
113
57 jobs
Senior
40
100
42 jobs
Lead
40
150
22 jobs
Director
130
130
1 job
Skills & tools

What hiring managers ask for

% of 1 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

SQL
100%
AWS
100%
ETL/ELT
100%
Data Warehousing
100%
Orchestration
100%
Python
100%
Docker
100%
S3
100%
GraphQL
100%
REST
100%
Career ladder

From Junior to Principal

A typical UK progression for data engineers. Years are guidance — strong people move faster, and many senior folks sidestep into research, product or management.

  1. Level 1

    Junior Data Engineer

    0–2 yrs

    Assists in building and maintaining data pipelines, with a focus on learning and supporting more senior team members.

  2. Level 2

    Data Engineer

    2–5 yrs

    Takes ownership of specific data pipelines and projects, ensuring they meet performance and reliability standards.

  3. Level 3

    Senior Data Engineer

    5–8 yrs

    Leads the design and implementation of complex data infrastructure, mentoring junior engineers and collaborating with cross-functional teams.

  4. Level 4

    Principal Data Engineer

    8+ yrs

    Strategises and oversees the entire data infrastructure, driving innovation and best practices across the organisation.

Pathway

How to become a Data Engineer

There's no single route, but most people follow some version of these steps.

  1. 1

    Learn the Basics

    Start with foundational skills in SQL, Python, and data storage systems. Gain experience with ETL processes and data warehousing.

  2. 2

    Build Pipelines

    Work on building and maintaining data pipelines using tools like Apache Kafka and Apache Spark. Focus on efficiency and scalability.

  3. 3

    Optimise Infrastructure

    Optimise data storage and retrieval processes to ensure high performance and reliability. Collaborate with data scientists and analysts.

  4. 4

    Lead Projects

    Take ownership of complex data infrastructure projects. Mentor junior engineers and ensure best practices are followed.

  5. 5

    Strategise and Innovate

    Strategise the overall data infrastructure, driving innovation and best practices. Oversee the implementation of new technologies and methodologies.

Live jobs

220 live roles

See all 220 roles →
Harnham - Data & Analytics Recruitment logo

Lead Data Platform Engineer

This role involves leading the development and maintenance of a Databricks platform in Azure, focusing on end-to-end data solutions, automation, and DevOps practices. You will shape the architectural direction and work closely with stakeholders to ensure best-in-class data engineering practices.

Harnham - Data & Analytics Recruitment Liverpool, United Kingdom £75,000 – £85,000 pa
Remote Permanent Flexible
Harnham - Data & Analytics Recruitment logo

Lead Data Platform Engineer

This role involves leading the development and maintenance of a Databricks platform in Azure, focusing on end-to-end data solutions, automation, and DevOps practices. You will take ownership of design decisions and long-term architectural direction, working closely with stakeholders to enhance data capabilities.

Harnham - Data & Analytics Recruitment Leeds, United Kingdom £75,000 – £85,000 pa
Remote Permanent Flexible

Aladdin & Snowflake) Data Consultant / Engineer

This role involves analyzing and interpreting Aladdin investment, risk, performance, and operational data, designing and building scalable data models and pipelines in Snowflake, and leading data integration, validation, and quality control. You will work closely with stakeholders across front office, risk, operations, and technology to translate business requirements into robust data solutions and reporting.

Opus Recruitment Solutions United Kingdom £500 – £550 pd
Remote Contract

Principle AI Data Engineer

Principal AI / Data Engineer (Contract):Length: 3 months initally (extension is likely)Start Date: ASAPLocation: London, Hybrid (1 day per week)Pay Rate / Determination: £(Apply online only) p/d | Outside IR35About: Opus is supporting a UK-based digital consultancy partnering with organisations...

Opus Recruitment Solutions London, United Kingdom £525 – £575 pd
Contract

Business Intelligence & Data Engineering Lead

We are recruiting a Business Intelligence & Data Engineering Lead to lead the development of a centralised reporting and analytics capability.The role focuses on building intuitive, automated reporting solutions while improving data quality, consistency, and organisational understanding of data. You...

Jackson Hogg Pickering, North Yorkshire, United Kingdom £40,000 – £45,000 pa

Data Platform Engineer / Data Integration Lead (28.9% Pension)

The Data Platform & Data Integrations Lead will play a crucial role in the Government Property Agency's data transformation initiatives. Responsibilities include maintaining and developing a cloud-hosted data warehouse, overseeing data integration, ensuring data integrity and security, and leading a team of contractors. The role involves close collaboration with the Digital team and senior leadership to support the GPA's data strategy and deliver efficient, reliable data solutions.

Michael Page Technology Birmingham, United Kingdom £61,000 – £64,000 pa
Hybrid Permanent Clearance Required

Data Platform Engineer

As a Data Platform Engineer, you will design, build, and maintain a robust data platform within cloud environments (Azure/AWS/GCP). You will collaborate with technical specialists and third-party providers, leveraging Microsoft Fabric and Terraform to deliver secure, scalable, and highly available solutions. Responsibilities include maintaining and optimizing the data platform, ensuring high availability, and applying Platform as Code principles to improve automation and consistency.

Noir Milton Keynes, United Kingdom £55,000 – £70,000 pa
Hybrid Permanent

Data Services Engineer

This role involves building and maintaining scalable data pipelines, integrating data from diverse sources, ensuring data quality and integrity, and collaborating with stakeholders to deliver data solutions that support Royal Navy Maritime Domain Awareness. The position requires hands-on engineering skills, strong Python and SQL expertise, and experience with data platforms and secure environments.

Carbon 60 Portsmouth, Hampshire, United Kingdom £40,000 – £60,000 pa
On-site Permanent Clearance Required
See all 220 roles →
Top hirers

Companies hiring data engineers

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Hiring locations

Where this role is hiring

The locations with the most live listings for this role today.

London

Location
64 open

Manchester

Location
20 open

Birmingham

Location
13 open

Leeds

Location
9 open

Bristol

Location
5 open

Cardiff

Location
5 open
FAQs

Common questions

  • Data Engineers commonly use tools like Apache Kafka, Apache Spark, SQL, Python, and data warehousing solutions such as Amazon Redshift or Google BigQuery.

  • Collaboration with data scientists is crucial. Data Engineers need to understand the data needs of data scientists to build effective data pipelines and infrastructure.

  • Key skills include proficiency in SQL, Python, and data storage systems, as well as a strong understanding of ETL processes, data warehousing, and big data technologies.

  • The typical career progression is from Junior Data Engineer to Data Engineer, then Senior Data Engineer, and finally Principal Data Engineer, with increasing levels of responsibility and leadership.

  • For specific salary information, please refer to the salary section on this page, which is updated with the latest data from live job listings.

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