Salary for Mid-level / Intermediate Data Engineer in United Kingdom during 2023

Salary details

The average mid-level / intermediate Data Engineer salary lies between USD 58,444 and USD 92,280 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 Mid-level / Intermediate Data Engineer roles

The three most common job tag items assiciated with mid-level / intermediate Data Engineer job listings are Python, SQL and Engineering. 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 | 1005 jobs SQL | 983 jobs Engineering | 967 jobs Pipelines | 885 jobs AWS | 673 jobs Data pipelines | 673 jobs ETL | 638 jobs Computer Science | 565 jobs Architecture | 527 jobs Spark | 520 jobs Azure | 508 jobs Agile | 449 jobs Machine Learning | 385 jobs GCP | 363 jobs Big Data | 359 jobs Security | 339 jobs Data quality | 329 jobs Airflow | 324 jobs Data warehouse | 311 jobs Java | 311 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Engineer roles

The three most common job benefits and perks assiciated with mid-level / intermediate 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 | 779 jobs Health care | 462 jobs Flex hours | 416 jobs Startup environment | 374 jobs Team events | 302 jobs Competitive pay | 274 jobs Flex vacation | 260 jobs Parental leave | 217 jobs Equity / stock options | 166 jobs Salary bonus | 161 jobs Insurance | 153 jobs Medical leave | 109 jobs Wellness | 93 jobs 401(k) matching | 92 jobs Home office stipend | 79 jobs Gear | 78 jobs Conferences | 52 jobs Unlimited paid time off | 51 jobs Fitness / gym | 50 jobs Yoga | 32 jobs

Salary Composition

In the United Kingdom, the salary composition for a mid-level/intermediate data engineer can vary based on several 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. This base salary is often complemented by a performance-based bonus, which can range from 5% to 20% of the base salary, depending on the company's performance and individual contributions. Additionally, some companies offer stock options or equity, especially in tech startups or larger tech firms, which can significantly enhance the overall compensation package. Benefits such as health insurance, pension contributions, and other perks like gym memberships or travel allowances may also be included, adding further value to the total remuneration.

Increasing Salary

To increase your salary from a mid-level data engineer position, consider the following strategies:

• Skill Enhancement: Continuously update and expand your technical skills, particularly in emerging technologies and tools relevant to data engineering, such as cloud platforms (AWS, Azure, Google Cloud), big data technologies (Hadoop, Spark), and advanced programming languages (Python, Scala).

• Specialization: Develop expertise in a niche area within data engineering, such as real-time data processing, data architecture, or machine learning pipelines, which can make you more valuable to employers.

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

• Advanced Education: Consider pursuing a master's degree or other advanced certifications that can enhance your qualifications and make you eligible for higher-level positions.

• Performance and Negotiation: Consistently demonstrate high performance and take on leadership roles in projects. When the time is right, negotiate for a raise or promotion based on your contributions and market research.

Educational Requirements

For a mid-level data engineer position, most employers require at least a bachelor's degree in a relevant field such as computer science, information technology, engineering, or mathematics. Some positions may prefer candidates with a master's degree, especially if the role involves complex data systems or integration with AI/ML processes. A strong foundation in programming, data structures, algorithms, and database management is essential.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise to potential employers. Some valuable certifications include:

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

These certifications validate your skills in specific tools and platforms, making you more competitive in the job market.

Required Experience

Typically, a mid-level data engineer is expected to have 3 to 5 years of relevant experience. This experience should include hands-on work with data pipelines, ETL processes, data warehousing solutions, and familiarity with cloud services. Experience in collaborating with data scientists and analysts to support their data needs is also valuable. Demonstrated experience in problem-solving and optimizing data systems is often required.

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