Salary for Senior-level / Expert Data Engineer in United Kingdom during 2022

Salary details

The average senior-level / expert Data Engineer salary lies between USD 61,566 and USD 82,280 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 Senior-level / Expert Data Engineer roles

The three most common job tag items assiciated with senior-level / expert 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 | 2120 jobs Python | 2044 jobs SQL | 1883 jobs Pipelines | 1869 jobs AWS | 1535 jobs Data pipelines | 1393 jobs Spark | 1327 jobs ETL | 1270 jobs Big Data | 1043 jobs Airflow | 992 jobs Computer Science | 967 jobs Machine Learning | 903 jobs Agile | 861 jobs Kafka | 820 jobs Streaming | 798 jobs Architecture | 777 jobs Redshift | 767 jobs Scala | 755 jobs GCP | 694 jobs Snowflake | 688 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Data Engineer roles

The three most common job benefits and perks assiciated with senior-level / expert 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 | 1608 jobs Health care | 902 jobs Startup environment | 831 jobs Flex hours | 723 jobs Flex vacation | 640 jobs Team events | 630 jobs Equity / stock options | 593 jobs Competitive pay | 545 jobs Insurance | 444 jobs Parental leave | 439 jobs Medical leave | 329 jobs Salary bonus | 309 jobs Wellness | 279 jobs 401(k) matching | 255 jobs Home office stipend | 209 jobs Unlimited paid time off | 207 jobs Fitness / gym | 175 jobs Conferences | 147 jobs Snacks / Drinks | 99 jobs Travel | 68 jobs

Salary Composition for Senior Data Engineers in the UK

The salary for a Senior Data Engineer in the UK typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the largest part of the total compensation package. Performance bonuses can vary significantly depending on the company's profitability and individual performance metrics. Additional remuneration might include stock options, especially in tech companies or startups, and benefits like health insurance, pension contributions, and paid leave.

The composition can vary by region, with London-based roles often offering higher salaries due to the cost of living. Industry also plays a role; for instance, finance and tech sectors tend to offer more competitive packages. Larger companies might provide more comprehensive benefits and bonuses, while smaller companies or startups might offer equity as part of the compensation.

Steps to Increase Salary from a Senior Data Engineer Position

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

• Specialize in High-Demand Skills: Focus on acquiring expertise in niche areas such as machine learning engineering, big data technologies, or cloud computing, which are highly valued.
• Pursue Leadership Roles: Transition into roles that involve team leadership or project management, as these often come with higher pay.
• Negotiate Effectively: Develop strong negotiation skills to leverage your experience and market demand during salary discussions.
• Explore Opportunities in High-Paying Industries: Consider roles in industries known for higher compensation, such as finance, healthcare, or tech.
• Continuous Learning and Certification: Stay updated with the latest technologies and trends in data engineering to remain competitive.

Educational Requirements for Senior Data Engineers

Most Senior Data Engineer roles require at least a bachelor's degree in computer science, information technology, engineering, or a related field. A master's degree or Ph.D. can be advantageous, especially for roles that require advanced analytical skills or research capabilities. Strong foundational knowledge in mathematics, statistics, and programming is essential.

Helpful Certifications for Data Engineers

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

• Google Professional Data Engineer: Validates your ability to design, build, and manage data processing systems.
• AWS Certified Big Data – Specialty: Focuses on data analytics and big data solutions on the AWS platform.
• Microsoft Certified: Azure Data Engineer Associate: Demonstrates expertise in integrating, transforming, and consolidating data from various sources.
• Cloudera Certified Professional (CCP) Data Engineer: Recognizes proficiency in data engineering skills using Cloudera's platform.

Experience Required for Senior Data Engineers

Typically, a Senior Data Engineer position requires 5-10 years of experience in data engineering or related fields. This experience should include hands-on work with data pipelines, ETL processes, data warehousing, and big data technologies. Experience with cloud platforms, such as AWS, Azure, or Google Cloud, is often required. Leadership experience or experience in mentoring junior engineers can also be beneficial.

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