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Big Data 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 in Big Data?
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
Data Architecture specialist
Head of Data Architecture
 
Career progression example
Junior Data Engineer
Data Engineer
Senior Data Engineer
Lead Data Engineer
Head of Data Engineering
Data Architect
 
Salary Benchmarks
At an entry level, junior/graduate Data Engineering professionals on average will be earning between £30k-£35k. At the mid-level you’d be looking to earn £50k-£60k and seniors would be looking to earn £70k+.
 
Is it right for me? The skills it takes...
The skills needed can be split into 3 categories; programming skills, data science understanding and problem-solving.
 
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, 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. Demonstrable experience working with large data sets or alternatively candidates will work in Business Intelligence and then do online courses /self-learning/ get trained up on Big Data Engineering and Architecture and can move into these roles through this route.

 

Our Data recruitment team

Our latest Data jobs

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  • 27th May

    Hot Jobs BI Lead

    — Green Tech Business

    Location:
    Wiltshire
    Type:
    Salary:
    Up to £60k
    Award-winning sustainability business. Work with modern cloud infrastructure. Flexible-working, forward-thinking & modern approach to BI & development. A Business Intelligence Lead is needed to join an award-winning tech for good business in Wiltshire. They’re already considered market leaders in ethical business and are showing no signs of slowing down. What you’ll be doing You will lead on a broad mixture of data focussed solutions that are taken on by the team. This will include; integrations of data between internal and third-party systems, migrations, development of new databases and solutions, streamlining processes, reporting, and more. You will manage the Data Team and prioritise their workload and deliverables.  What skills you’ll need Minimum of 5 years’ experience in BI/Data Development End-to-end BI development experience including design/architecture SQL Server  Experience with data visualisation tools preferred Experience with cloud platforms (Azure, AWS, GCP or similar) preferred Agile/similar methodology experience What you’ll get in return for your skills A base salary of up to £60K plus a competitive benefits package which includes; 25 days annual leave with the option to buy more, company bonus, pension matched up to 7.5%, flexible working, travel & green travel allowances. What’s next? Please get in touch with Scott with an up-to-date CV today, don’t hesitate to email/call to discuss the finer details.
 Data

Data case studies

Candidate Experience

Alistair Rogers, Data Scientist

  • Alistair is an experienced Data Scientist with working with clients across government, healthcare and banking sectors.
  • While successfully working in London as a Data Scientist for one of the Big Four professional service companies, he was planning to move to Bristol and approached us to get an understanding of the local market, especially opportunities and skills in demand within Data in the South West well ahead of the move.
  • We advised on opportunities and businesses in and around Bristol as well as in-demand skill sets so he could gather relevant exposure in advance.
  • Once ready to make the move, we were able to match Alistair perfectly with an open opportunity. Equipping him with tips and advice, we guided him through the interview process and negotiated the salary that was in line with his expectations. Alistair started as a Data Scientist with OnCorps, a start-up FinTech firm. 

"Alex and ADLIB were fantastic to work with and absolutely made the daunting experience of finding a job in a new city a lot easier! They take the time to understand the fields that they are recruiting for and even go to developer meetups to learn more about the areas that they recruit in. Would definitely recommend working with Alex and ADLIB."  

Alistair Rogers, Data Scientist

LV=

Establishing a Data Science function

  • LV= are one of the UK’s largest personal insurers who announced earlier this year that they were partnering with the University of Bristol to establish a team of Data Scientists and Engineers with the aim of making advancements in the field of Data Science by sharing knowledge, skills and opportunities. 
  • We initially worked with Venura as a candidate, finding him the role at LV=. He soon needed another two sets of hands, planning on growing his team to 3.
  • To help him with this, we worked with him to truly understand his style of working and management, gathering a detailed brief that outlined the ideal candidates. 
  • By tapping into existing candidate pools and relationships, we were able to suggest a range of suitable candidates with a wide range of experience and that had the vital mix of  technical and soft skills needed, to be working alongside University of Bristol as a team.
  • This resulted in Venura/ LV= making two great Data Engineer hires.

“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.”

Dr. Venura Perera, Data Science Manager at LV=

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