Data Engineer Salary in United Kingdom during 2022

Salary details

The average Data Engineer salary lies between USD 61,566 and USD 92,350 in the United Kingdom. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 15, 2024

Salary trend

Top 20 Job Tags for Data Engineer roles

The three most common job tag items assiciated with Data Engineer job listings are Engineering, Python and SQL. Below you find a list of the 20 most occuring job tags in 2022 and the number of open jobs that where associated with them during that period:

Engineering | 3182 jobs Python | 3142 jobs SQL | 2848 jobs Pipelines | 2738 jobs AWS | 2250 jobs Data pipelines | 1996 jobs ETL | 1894 jobs Spark | 1856 jobs Big Data | 1479 jobs Computer Science | 1438 jobs Machine Learning | 1387 jobs Airflow | 1371 jobs Agile | 1291 jobs Scala | 1103 jobs Kafka | 1100 jobs Architecture | 1090 jobs GCP | 1051 jobs Redshift | 1036 jobs Streaming | 1036 jobs Azure | 999 jobs

Top 20 Job Perks/Benefits for Data Engineer roles

The three most common job benefits and perks assiciated with Data Engineer job listings are Career development, Health care and Startup environment. Below you find a list of the 20 most occuring job perks or benefits in 2022 and the number of open jobs that where offering them during that period:

Career development | 2509 jobs Health care | 1352 jobs Startup environment | 1217 jobs Flex hours | 1171 jobs Team events | 961 jobs Flex vacation | 913 jobs Competitive pay | 839 jobs Equity / stock options | 811 jobs Parental leave | 620 jobs Insurance | 609 jobs Salary bonus | 489 jobs Medical leave | 481 jobs Wellness | 369 jobs 401(k) matching | 342 jobs Home office stipend | 293 jobs Unlimited paid time off | 283 jobs Fitness / gym | 237 jobs Conferences | 225 jobs Gear | 136 jobs Snacks / Drinks | 131 jobs

Salary Composition

In the United Kingdom, the salary composition for a Data Engineer can vary significantly based on factors such as region, industry, and company size. Typically, the salary is composed of a fixed base salary, which forms the bulk of the compensation package. In addition to the base salary, many companies offer performance-based bonuses, which can range from 5% to 20% of the base salary, depending on the company's performance and the individual's contribution. Additional remuneration may include stock options, especially in tech startups or larger tech companies, and other benefits such as health insurance, pension contributions, and professional development allowances. In regions like London, where the cost of living is higher, salaries tend to be more competitive compared to other parts of the UK.

Steps to Increase Salary

To increase your salary as a Data Engineer, consider the following strategies:

• Skill Enhancement: Continuously update your technical skills, especially in emerging technologies and tools relevant to data engineering, such as cloud platforms (AWS, Azure, GCP), big data technologies (Hadoop, Spark), and data warehousing solutions (Snowflake, Redshift).

• Advanced Education: Pursuing a master's degree or specialized courses in data science, machine learning, or related fields can make you more competitive.

• Networking: Engage with professional networks and communities, attend industry conferences, and participate in meetups to increase your visibility and learn about new opportunities.

• Certifications: Obtain relevant certifications that can validate your skills and expertise, making you more attractive to employers.

• Negotiation Skills: Improve your negotiation skills to better advocate for higher pay during performance reviews or when switching jobs.

Educational Requirements

Most Data Engineer positions require at least a bachelor's degree in computer science, information technology, engineering, or a related field. Some employers may prefer candidates with a master's degree, especially for more senior roles. A strong foundation in mathematics and statistics is also beneficial, as it aids in understanding data structures and algorithms.

Helpful Certifications

Certifications can enhance your credibility and demonstrate your commitment to the field. Some valuable certifications for Data Engineers include:

• AWS Certified Data Analytics – Specialty
• Google Professional Data Engineer
• Microsoft Certified: Azure Data Engineer Associate
• Cloudera Certified Professional (CCP) Data Engineer

These certifications focus on cloud platforms and big data technologies, which are crucial in modern data engineering roles.

Experience Requirements

Typically, entry-level Data Engineer positions require 1-3 years of experience in a related field, such as software development or database management. For mid-level roles, 3-5 years of experience is common, while senior positions may require 5-10 years of experience. Experience with data modeling, ETL processes, and working with large datasets is often essential.

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