Salary for Entry-level / Junior Data Engineer in United Kingdom during 2023

Salary details

The average entry-level / junior Data Engineer salary lies between USD 43,064 and USD 79,976 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. 10, 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 2023 and the number of open jobs that where associated with them during that period:

Python | 595 jobs SQL | 546 jobs Engineering | 450 jobs Pipelines | 353 jobs ETL | 342 jobs AWS | 301 jobs Spark | 291 jobs Big Data | 261 jobs Architecture | 253 jobs GCP | 241 jobs Computer Science | 235 jobs Azure | 234 jobs Machine Learning | 226 jobs Data pipelines | 214 jobs Java | 204 jobs DevOps | 183 jobs Agile | 173 jobs NoSQL | 168 jobs APIs | 164 jobs Docker | 146 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, Startup environment 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 | 329 jobs Startup environment | 192 jobs Flex hours | 142 jobs Team events | 113 jobs Health care | 112 jobs Flex vacation | 91 jobs Competitive pay | 90 jobs Salary bonus | 72 jobs Equity / stock options | 59 jobs Insurance | 57 jobs Parental leave | 56 jobs Yoga | 31 jobs Medical leave | 31 jobs 401(k) matching | 23 jobs Wellness | 23 jobs Snacks / Drinks | 20 jobs Home office stipend | 18 jobs Gear | 17 jobs Conferences | 16 jobs Fitness / gym | 14 jobs

Salary Composition for Entry-Level/Junior Data Engineer Roles

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, the industry, and the individual's 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, which can add value to the overall compensation.

Steps to Increase Salary from an Entry-Level Position

To increase your salary from an entry-level data engineer 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.
• Networking: Build a strong professional network within the industry to learn about new opportunities and trends.
• Performance Excellence: Consistently exceed performance expectations to position yourself for promotions and salary raises.
• Advanced Education: Consider pursuing further education, such as a master's degree, which can open doors to higher-level positions.

Educational Requirements for Entry-Level Data Engineers

Most entry-level data engineer positions require at least a bachelor's degree in a related field such as computer science, information technology, engineering, or mathematics. Some roles may also consider candidates with degrees in physics, statistics, or other quantitative disciplines, provided they have relevant technical skills. Coursework or projects in data structures, algorithms, databases, and programming languages are particularly beneficial.

Helpful Certifications for Data Engineers

While not always mandatory, certain certifications can enhance your profile and demonstrate your commitment to the field. Some valuable 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 Roles

For entry-level positions, employers typically look for candidates with some practical experience, which can be gained through internships, co-op programs, or relevant projects during academic studies. Experience with data manipulation, ETL processes, and familiarity with tools like SQL, Python, or R is often expected. While extensive professional experience is not required, demonstrating hands-on experience with data engineering tasks can be advantageous.

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