Future Tech Jobs Future Tech Jobs

Data Engineer Jobs

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

Open roles
174
Salary range
£30k – £240k
Hiring companies
97
View 174 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 – £240k

Based on advertised midpoints across the 293 priced listings posted in the last 12 months. Base salary only.

By seniority
£k base
Entry
30
38
1 job
Junior
30
45
8 jobs
Mid
30
113
113 jobs
Senior
44
240
96 jobs
Lead
40
240
37 jobs
Director
95
130
4 jobs
Skills & tools

What hiring managers ask for

% of 220 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

SQL
70%
Python
70%
AWS
34%
Azure
32%
Data Modelling
31%
Data Pipelines
27%
CI/CD
26%
Data Governance
26%
ETL
25%
Databricks
23%
PySpark
19%
Data Warehousing
18%
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

174 live roles

See all 174 roles →

Data Engineer

As a Data & AI Engineer, you will design and build scalable data pipelines, integrate data from multiple sources, and develop advanced analytics and AI solutions. You'll work closely with analysts and stakeholders to deliver high-impact, production-ready solutions, with a focus on data quality and performance.

Tenth Revolution Group Newcastle upon Tyne, United Kingdom £45,000 – £51,000 pa
Hybrid Permanent

Data Engineer

This role involves designing and building scalable data pipelines, developing AI and ML solutions, and integrating data from multiple sources. You'll work on large-scale transformation projects, collaborate with cross-functional teams, and ensure data quality and governance.

Tenth Revolution Group Manchester, United Kingdom £40,000 – £55,000 pa
Amazon logo

Data Engineer, Amazon Customer Service Data Analytics Support Hub

This role involves building and maintaining scalable data pipelines for customer service analytics, focusing on multi-contact journey analysis, transcripts processing, and LLM-serving datasets. The engineer will bridge central data platforms with domain-specific use cases, enabling diagnostic and predictive insights. Key responsibilities include productionizing machine learning outputs, ensuring data quality, and supporting secure, certified data infrastructure at global scale.

Amazon London, United Kingdom
Hybrid Permanent
Amazon logo

Data Engineer, Prime Video Finance Analytics

Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching?Prime Video is a premium streaming...

Amazon London, United Kingdom
Permanent

Data Engineer - Celonis

This role involves designing, developing, and maintaining scalable data pipelines for Celonis, supporting major transformation programmes in finance, operations, and supply chain. You will work hands-on with SQL Server, Microsoft Fabric, and Python, translating business requirements into technical data solutions and ensuring data quality and governance.

Reed Birmingham, United Kingdom £50,000 – £60,000 pa
Remote Permanent

Data Engineer Lead Role - Banking

The Data Engineer Lead is responsible for designing and building a modern data platform using Databricks and cloud technologies, leading the migration from legacy Oracle systems, and ensuring high-quality data pipelines. The role involves technical leadership, mentoring, and collaboration with cross-functional teams to support the bank's data strategy and regulatory requirements.

GCS London, City And County Of the City Of London, United Kingdom £600 – £700 pd
Hybrid Contract

Data Engineer-Must have strong GCP experience

This role involves designing and building scalable, production-ready data pipelines on Google Cloud Platform (GCP) to support enterprise-wide data delivery. The engineer will standardise data ingestion and transformation, embed data quality and monitoring, and collaborate with data science and analytics teams. Emphasis is on resilience, automation, and enabling reusable, configuration-driven frameworks across multiple domains.

Reed Technology London, United Kingdom £425 pd
Hybrid Contract Clearance Required

Data Engineer - Fabric

This role involves designing, building, and optimizing a modern Microsoft data platform using Fabric, Lakehouse, and Azure Data Factory. You will work closely with data colleagues and technology teams to ensure high-quality data flows, develop scalable data models, and improve data governance and reliability.

Big Red Recruitment Midlands Limited Farringdon, London, EC1M 4BJ, United Kingdom £65,000 – £70,000 pa
Hybrid Contract
See all 174 roles →
Top hirers

Companies hiring data engineers

See all companies →
Hiring locations

Where this role is hiring

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

London

Location
50 open

Manchester

Location
11 open

Birmingham

Location
7 open

Leeds

Location
6 open

Bristol

Location
3 open

Newcastle

Location
3 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.

Hiring data engineers?

Post your role in 90 seconds and reach the specialist audience that already reads this page.

Post a job → See pricing

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Engineering roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.