How Much Does a Data Engineer Make?

Data Engineers in the UK typically earn between £31,000 at junior level and £100,000+ in senior and lead roles. Current UK vacancy data puts the median salary at around £70,000.

In the US, Indeed reports an average Data Engineer base salary of around $137,000, with salaries ranging from approximately $88,000 to $212,000.

Higher salaries come with greater responsibility. Early-career Data Engineers tend to build and maintain data pipelines. At senior and lead level, the job expands into deciding how data is structured, keeping platforms reliable and setting the technical standards other teams work to.

Location, sector and cloud expertise affect salary too. As you progress, your responsibilities become a major factor in what employers will pay.

Data Engineer Salary by Experience Level

A significant gap exists between entry-level Data Engineer salaries and what experienced engineers can earn. The work changes significantly too.

Experience level	Typical UK salary	Typical responsibilities at this level
Junior, 0 to 3 years	£31,000 to £45,000	Builds and maintains data pipelines, develops SQL and Python skills and works within established systems
Established/mid-level, 3 to 6 years	£45,000 to £70,000	Takes responsibility for production pipelines, data quality and work involving several teams
Senior, 6 to 10 years	£70,000 to £90,000+	Makes decisions about how systems are built, improves reliability and performance and mentors other engineers
Lead/principal	£85,000 to £120,000+	Sets engineering standards, makes decisions about the wider data platform and leads work across teams or business areas

The figures above provide a benchmark for Data Engineer salaries in the UK. 

These ranges also align with Harnham’s own UK salary research. In Harnham’s 2024 Data & AI Salary Guide, London Data Engineer salaries ranged from around £40,000 at entry level to £105,000 at senior management level, with mid-level roles averaging £65,000 and technical lead or manager roles £86,000.

US salary data provides a useful comparison. Indeed reports an average Data Engineer base salary of around $137,000, based on approximately 10,500 salaries from job postings. Its wider salary range runs from around $88,000 to $212,000, although experience, location and employer all influence where an individual role falls within that range.

These figures are useful benchmarks, but years of experience don’t determine salary on their own.

Junior Data Engineers usually start with defined pipelines, data transformation and learning how production systems work. At mid-level, they take responsibility for more of that work themselves. Senior and lead engineers make decisions that affect the wider data platform, from how it is built to how reliably it performs.

That change in responsibility helps explain why two Data Engineers with similar experience can earn very different salaries.

What Really Drives Data Engineer Pay: Ownership, Not Just Experience

Two Data Engineers with five years of experience can have very different jobs.

One might build pipelines within a system someone else designed. Another might decide how data is structured, take responsibility for a platform the business depends on, solve performance problems and set standards for other engineers.

Those differences show up in salary.

Moving into senior Data Engineering means taking responsibility for more than the code you write. Employers need people who can make decisions about how systems are built, keep them reliable as demand grows and understand how technical choices affect cost and performance.

At lead and principal level, that responsibility grows again. You may set the technical direction for a platform, establish engineering standards and lead work across several teams.

This differs from Data Science, where postgraduate education is more common. In Data Engineering, your responsibilities grow increasingly important as you progress.

How Does Location Affect Data Engineer Salaries?

London is generally one of the higher-paying markets for Data Engineers, although salaries vary considerably by seniority and role responsibilities. Current UK vacancy data puts the median Data Engineer salary at around £70,000.

London is not the only market for Data Engineering. Manchester, Leeds, Edinburgh and Bristol all have active Data Engineer markets, giving engineers options beyond the capital.

Location also affects pay in the US. Indeed reports an average Data Engineer salary of around $137,000 nationally, with some of its highest-paying cities including Redmond at around $163,000 and Seattle at around $152,000.

Role scope can matter just as much. A major data platform role can command a higher salary than a narrower one, even in a higher-paying city.

Data Engineer Salary by Sector and Cloud Specialism

The types of systems you work with and the responsibility you hold also affect Data Engineer salaries.

Financial services and fintech are key markets for experienced Data Engineers, particularly where data systems must meet strict requirements for security, accuracy, and reliability.

Cloud expertise is common in Data Engineering roles. At senior level, employers need engineers who can do more than work with AWS, Azure or Google Cloud Platform. They need people who can build reliable cloud systems, solve performance problems and manage costs.

Contracting is another option for experienced Data Engineers. For contractors in London, current benchmarks range from £525 to £575 per day at 0 to 3 years’ experience, rising to £675 to £850 per day at 5+ years. Rates also vary by sector, technical requirements and IR35 status.

Data Engineer Salary vs Related Roles

Data Engineering overlaps with several other Data & AI roles, so compare the work as well as the job title.

Data Engineers and Data Scientists can earn similar salaries at mid and senior level, but they do different work. Data Scientists focus more on statistical analysis, experimentation and modelling. Data Engineers build and maintain the systems that make reliable data available. Our Data Scientist salary guide looks at that market in more detail.

Analytics Engineers also work with data transformation and modelling. They tend to work more closely with the data used for analysis and reporting, while Data Engineers focus more on the pipelines and systems that move, store and prepare that data. Our Analytics Engineer salary guide covers salaries for that role.

How to Increase Your Data Engineer Salary

Higher-paying Data Engineering roles come with greater responsibility, so progression means showing that you can own more than individual tasks.

Look for opportunities to improve the systems you work on. You might reduce pipeline failures, make data available faster, lower cloud costs or improve how a platform is built. These give employers clear evidence of the difference your work made.

Building deeper expertise in AWS, Azure or GCP can also help. Knowing one platform well enough to build and run reliable systems is more useful than having limited experience across several.

As you progress, keep track of the decisions you made, the problems you solved and the results. Senior and lead roles require engineers who can take responsibility for systems other people rely on.

Summary and Key Takeaways

• Data Engineer salaries vary considerably by market and seniority. In the UK, salaries typically start around £31,000 to £45,000 and can exceed £100,000 at lead and principal level. In the US, Indeed reports an average base salary of around $137,000.
• Salary rises as responsibility increases. Decisions around how systems are built, platform reliability, technical standards and work across multiple teams become more important at senior and lead level.
• Location, technical expertise and the systems you work with all influence earning potential, alongside the level of responsibility you hold.

Frequently Asked Questions

What is the average Data Engineer salary?

Data Engineer salaries vary by market. In the UK, current vacancy data puts the median at around £70,000, with junior salaries commonly falling between £31,000 and £45,000 and senior and lead positions reaching £90,000 to £120,000+. In the US, Indeed reports an average base salary of around $137,000. Different salary sources report different figures depending on the roles, locations and experience levels included.

What is the difference between a mid-level and lead Data Engineer salary?

In the UK, mid-level Data Engineers typically earn around £45,000 to £70,000, while lead roles typically earn £85,000 to £120,000+. Lead engineers take responsibility for bigger technical decisions, engineering standards, platform reliability and work involving multiple teams. Salary levels vary by market, but increased responsibility remains a key driver of progression.

Does location affect Data Engineer salaries?

Yes. Salaries vary between countries, cities and regional technology markets. Seniority, role responsibilities, sector and technical expertise also affect what a Data Engineer can earn, so location should be considered alongside the scope of the role.

Do Data Engineers earn more than Data Scientists?

Data Engineer and Data Scientist salaries overlap considerably, so one role does not consistently pay more than the other. Data Engineer salaries tend to rise with responsibility for platforms and production systems, while Data Scientist salaries are shaped more by statistical and modelling expertise and postgraduate education.