Data Engineer Salary in United Kingdom during 2023

Salary details

The average Data Engineer salary lies between USD 67,056 and USD 116,888 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: Nov. 17, 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 Python, Engineering and SQL. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

Python | 5352 jobs Engineering | 5125 jobs SQL | 5036 jobs Pipelines | 4382 jobs AWS | 3582 jobs Spark | 3309 jobs ETL | 3273 jobs Architecture | 3229 jobs Data pipelines | 3202 jobs Computer Science | 2748 jobs Big Data | 2603 jobs Agile | 2547 jobs Azure | 2406 jobs Java | 2258 jobs Machine Learning | 2077 jobs GCP | 1967 jobs Airflow | 1937 jobs Security | 1845 jobs Scala | 1799 jobs Kafka | 1784 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 Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Career development | 4076 jobs Health care | 2146 jobs Flex hours | 2037 jobs Startup environment | 1894 jobs Team events | 1476 jobs Flex vacation | 1326 jobs Competitive pay | 1293 jobs Equity / stock options | 1110 jobs Parental leave | 1062 jobs Salary bonus | 1046 jobs Insurance | 997 jobs Medical leave | 711 jobs Wellness | 645 jobs 401(k) matching | 508 jobs Home office stipend | 375 jobs Fitness / gym | 286 jobs Gear | 275 jobs Unlimited paid time off | 265 jobs Conferences | 199 jobs Relocation support | 148 jobs

Salary Composition

In the United Kingdom, the salary composition for a Data Engineer in AI/ML/Data Science typically includes a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or benefits. The fixed base salary is the largest component, often constituting 70-85% of the total compensation package. Bonuses can vary significantly depending on the company and industry, ranging from 5-20% of the base salary. Additional remuneration, such as stock options or profit-sharing, is more common in larger tech companies or startups and can add another 5-15% to the total package. Regional differences also play a role; for instance, salaries in London are generally higher due to the cost of living and the concentration of tech companies.

Increasing Salary

To increase your salary from a Data Engineer position, consider the following steps:

• Skill Enhancement: Continuously update your technical skills, especially in emerging technologies like cloud computing, big data frameworks, and machine learning.
• Advanced Education: Pursuing a master's degree or specialized certifications can make you more competitive.
• Networking: Engage with professional communities and attend industry conferences to expand your network and learn about new opportunities.
• Leadership Roles: Aim for roles with more responsibility, such as a lead data engineer or data architect, which typically offer higher salaries.
• Industry Shift: Consider moving to industries that pay higher salaries for data engineers, such as finance or healthcare.

Educational Requirements

Most Data Engineer positions require at least a bachelor's degree in computer science, information technology, engineering, or a related field. A master's degree can be advantageous and is sometimes preferred, especially for roles that involve complex data systems or require a deep understanding of machine learning algorithms. Courses in statistics, mathematics, and data management are also highly beneficial.

Helpful Certifications

Certifications can enhance your credentials and demonstrate expertise in specific areas. Some valuable certifications for Data Engineers include:

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

These certifications validate your skills in cloud platforms and data engineering tools, making you more attractive to potential employers.

Experience Requirements

Typically, employers look for candidates with 2-5 years of experience in data engineering or related fields. Experience with data modeling, ETL processes, and working with large datasets is crucial. Familiarity with programming languages such as Python, Java, or Scala, and experience with data warehousing solutions like Amazon Redshift or Google BigQuery, are often required.

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