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Data Engineering jobs and careers

As the use of data in business gets more and more prevalent, the ability to quickly and effectively produce data algorithms that can analyse large complex datasets is crucial. In order to do this, the right data infrastructure needs to be in place.

Why consider a career as a Data Engineer?

Data Engineers build databases, data warehouses and data lakes to service the needs of the Data Analysts and Data Scientists in their businesses. This area is fast growing and Data Engineers are in massive demand as so many companies race to unlock the value in their data.

Typical role titles include

Data Engineer
Big Data Engineer
Data Developer
BI Engineer
BI Developer
Business Intelligence Developer
Business Intelligence Engineer
Big Data Developer
Hadoop Developer
Data factory Developer
Hadoop Engineer
Data Availability Engineer
Data Science Engineer
Big Data Software Engineer
Platform Engineer
Data Warehouse Engineer
DWH Engineer
DWH Programmer
DWH Developer
Datawarehouse Developer
Datawarehouse Engineer
Datawarehouse Programmer
SQL Server Engineer
Data Infrastructure Engineer
Data Infrastructure Programmer
Data Infrastructure Developer
Data Analytics Engineer
Big Data Architect
Hadoop Architect
Hadoop Specialist
Big Data Specialist
Big Data Lead
Head of Big Data

Career progression example

Junior Data Engineer
Data Engineer
Senior Data Engineer
Lead Data Engineer
Head of Data Engineering
Data Architect

Salary Benchmarks

We’ve outlined the latest salary benchmarks for Data Engineering roles in the guides below:

Data, Insight and Analytics Salary Guide

Data, Insight and Analytics Day Rate Guide

Data, Insight and Analytics Within Data Engineering Development Salary Guide

Data, Insight and Analytics Within Data Science Salary Guide

Is it right for me? The skills it takes…

Programming skills: Java | Python | Golang | Cython | Software Design – A background in APIs e.g. web APIs and static/dynamic libraries | ML Libraries – e.g. TensorFlow, CNTK, MLib, Spark, Kafka, Kinesis and Redshift.

What qualifications does it take?

A BSc,  Masters (MSc) or Doctorate (PhD) in a maths, physics, statistics, artificial intelligence (AI), software engineering, engineering or computer science field with technical skills in programming. In addition, demonstrable experience working with large data sets.

Our Data, Insight & Analytics recruitment team

  • Principal Recruiter

    Data Platform & Architecture

    View profile

    Scott Rogers

  • Senior Recruiter

    Data, Insight & Analytics

    View profile

    Tegan Fenn

  • Head of Data

    Insight & Analytics

    View profile

    Alex Cosgrove

JOB
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Our latest Data, Insight & Analytics jobs

We connect ambitious organisations with their greatest assets, equally ambitious talent.

Data Engineer

  • Remote, London
  • Contract
  • Up to £500 p/day

Full details

Consultancy

Databricks & SQL Specialist

3-Month Contract, Outside IR35

Full details

25th Sep

Data Engineer

  • Edinburgh
  • Permanent
  • Up to £70,000

Full details

Transform Analytics and AI in a Leading Financial Institution

Deliver High-Impact Projects Utilising Advanced Data Technologies.

Competitive Remuneration and Comprehensive Benefits.

Full details

22nd Apr

Data, Insight & Analytics case studies

  • “From finding me my current role to helping place two fantastic hires, ADLIB has been a pivotal role in the development of our team here at Bristol. The guys are easy to work with, friendly and most importantly inspire trust. I look forward to working with them in the future.”

    LV= logo

    Dr. Venura Perera

    Data Science Manager

    LV=

    VIEW CASE STUDY

  • Working with a recruitment partner like ADLIB means you’re working with a group of people who get to understand you and match candidates up with your culture and goals. ADLIB worked at a breakneck speed to introduce us to the marketing experts we needed to build our team in a matter of months. With their help we recruited and onboarded a new team much faster than planned and ended up spoilt for choice because of the way they work and market insights.

    World Host Group logo

    Michelle Stark

    CMO

    World Host Group

    VIEW CASE STUDY

Salary guides:

  • -
    Data, Insight and Analytics Day Rate Guide

    Average salaries and day rates typically received for Data, Insight and Analytics roles.

    VIEW & DOWNLOAD

  • -
    Data, Insight and Analytics Salary Guide

    Average salaries and day rates typically received for Data, Insight and Analytics roles.

    VIEW & DOWNLOAD

  • -
    Data, Insight and Analytics Within Data Engineering & Development

    Average salaries and day rates for roles within data engineering & development.

    VIEW & DOWNLOAD

  • -
    Data, Insight and Analytics within Data Science

    Average salaries and day rates typically received for Data, Insight and Analytics roles within Data Science.

    VIEW & DOWNLOAD

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