Salary for Entry-level / Junior Data Engineer in United Kingdom during 2024

Salary details

The average entry-level / junior Data Engineer salary lies between USD 42,500 and USD 83,875 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 Entry-level / Junior Data Engineer roles

The three most common job tag items assiciated with entry-level / junior Data Engineer job listings are Python, SQL and Engineering. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Python | 1212 jobs SQL | 1179 jobs Engineering | 1091 jobs Pipelines | 764 jobs Computer Science | 647 jobs ETL | 642 jobs Azure | 547 jobs AWS | 541 jobs Data pipelines | 493 jobs Big Data | 465 jobs Spark | 457 jobs Machine Learning | 426 jobs Architecture | 369 jobs Agile | 358 jobs GCP | 350 jobs Java | 330 jobs Security | 319 jobs DevOps | 290 jobs Power BI | 284 jobs Testing | 273 jobs

Top 20 Job Perks/Benefits for Entry-level / Junior Data Engineer roles

The three most common job benefits and perks assiciated with entry-level / junior 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 2024 and the number of open jobs that where offering them during that period:

Career development | 811 jobs Health care | 317 jobs Flex hours | 301 jobs Team events | 296 jobs Equity / stock options | 230 jobs Startup environment | 215 jobs Competitive pay | 211 jobs Insurance | 183 jobs Medical leave | 135 jobs Salary bonus | 135 jobs Flex vacation | 108 jobs Fitness / gym | 86 jobs Parental leave | 84 jobs Wellness | 84 jobs 401(k) matching | 55 jobs Relocation support | 55 jobs Transparency | 25 jobs Gear | 20 jobs Home office stipend | 19 jobs Unlimited paid time off | 17 jobs

Salary Composition for Entry-Level Data Engineers

In the United Kingdom, the salary for an entry-level or junior data engineer typically consists 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 vary significantly depending on the company’s policies, industry standards, and individual performance. In larger tech companies or financial institutions, bonuses might be more substantial, whereas smaller startups might offer equity or stock options as part of the remuneration package. Additionally, some companies provide benefits such as health insurance, retirement contributions, and other perks like gym memberships or travel allowances, which can add value to the overall compensation.

Steps to Increase Salary

To increase your salary from an entry-level position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your technical skills, especially in high-demand areas like cloud computing, big data technologies, and machine learning.
• Certifications: Obtain relevant certifications that can validate your expertise and make you more competitive in the job market.
• Networking: Build a strong professional network by attending industry conferences, meetups, and engaging in online communities.
• Performance Excellence: Consistently exceed performance expectations and take on challenging projects to demonstrate your value to the organization.
• Advanced Education: Consider pursuing a master's degree or specialized courses in data science or engineering to enhance your qualifications.

Educational Requirements

Most entry-level data engineering positions require at least a bachelor's degree in a related field such as computer science, information technology, mathematics, or engineering. Some employers may also consider candidates with degrees in other quantitative fields if they have relevant skills and experience. A strong foundation in programming, databases, and data structures is essential, and coursework in statistics and machine learning can be advantageous.

Helpful Certifications

While not always mandatory, certain certifications can significantly enhance your profile as a data engineer. Some of the most recognized certifications include:

• AWS Certified Data Analytics: Validates expertise in using AWS data lakes and analytics services.
• Google Professional Data Engineer: Demonstrates proficiency in designing, building, and operationalizing data processing systems on Google Cloud.
• Microsoft Certified: Azure Data Engineer Associate: Focuses on implementing data solutions using Azure services.
• Cloudera Certified Associate (CCA) Data Analyst: Covers skills in data analysis using Cloudera's platform.

Experience Requirements

For entry-level positions, employers typically look for candidates with some practical experience, which can be gained through internships, co-op programs, or relevant project work during your studies. Experience with data manipulation, ETL processes, and familiarity with tools like SQL, Python, and data visualization software is often expected. Demonstrating hands-on experience with cloud platforms or big data technologies can also be beneficial.

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