Data Engineer

Join to apply for the Data Engineer role at Women in Data®

We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer‑centric service design, and agile engineering practices to accelerate innovation in a tech‑driven world.

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• Join our Digital & Data team working alongside product, design and a wide range of other experts and cross‑disciplinary teams to bring ideas to life through innovative software solutions.
  
• Grow a flexible and unique career within a trust‑based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn’t align with what you want to do.
  
• Hybrid working – our approach is to be in the office or on client site a minimum of 2 days per week.
  
• Work on a broad variety of projects and tech stacks for clients across seven sectors – no project is ever the same.
  
• Join other experts within our supportive and collaborative tech community through knowledge‑sharing and peer‑level support, coaching and mentoring.
  
• Deepen your expertise through our culture of learning and growth – you’ll have budget to take courses (technical and non‑technical training), plus gain certifications.
  

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• AWS is a significant growth area for us with a diverse and growing capability and we are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement.
  
• AWS data and analytics services (or open‑source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB.
  

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• Work to agile best practices and cross‑functionally with multiple teams and stakeholders. You’ll be using your technical skills to problem‑solve with our clients, as well as working on internal projects.
  
• Live in‑person whiteboarding sessions to problem‑solve as a team, alongside asynchronous communication on Teams.
  
• Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site.
  
• An environment that deeply cares about its values.
  
• You’ll work alongside colleagues from across PA – delivering transformative digital solutions to today’s most complex business challenges.
  
• You’ll be designing and building for the AWS cloud.
  

Even if you don’t meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to.

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• You thrive in problem‑solving and analytical thinking.
  
• You enjoy collaborating with multiple stakeholders in a fast‑paced environment.
  
• Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL.
  
• Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries, etc.
  
• Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native or custom programming.
  

Please note that the interview stages may be subject to change based on the specific requirements of the role.

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• Quick call with one of our Tech Recruiters – to discuss your application, the role and PA.
  
• Round 1: Either a competency or technical interview (60 mins).
  
• Round 2: Either a competency or technical interview, whichever you didn’t do at first round (60 mins).
  
• Final round: Meeting with a PA leader – a mini‑case study and discussion around your client‑centricity (60 mins).
  

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• Health and lifestyle perks accompanying private healthcare for you and your family.
  
• 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days.
  
• Generous company pension scheme.
  
• Opportunity to get involved with community and charity‑based initiatives.
  
• Annual performance‑based bonus.
  
• PA share ownership.
  
• Tax efficient benefits (cycle to work, give as you earn).
  

We’re committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, or by any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups.

Adjustments or accommodations – Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on .

We are proud supporters of Women in Data. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.

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