Pirical is pioneering the field of People Analytics. We are on a mission to help companies make fairer and better decisions about their people by helping our customers answer tough people strategy questions like: 'How can we achieve 30% of women in leadership by 2030?' or 'How can we eliminate bias in the recruitment process?’. This is enabled by our innovative knowledge management systems and data automation techniques.

We are an organically grown business that already has some of the world’s leading law firms as our clients both here in the UK and in the US, and we have ambitious plans to grow our business even further. 

We are looking to hire a Data Engineer to join our Customer Success function. This role is perfect for someone who wants to learn, and thrives in an agile environment.  

The team…

As a Data Engineer you will be part of our Customer Success team and work on our unique, award-winning people analytics platform, Pirical On Demand. The Customer Success team consists of 10+ strong and ambitious team members either data engineers or implementation managers. The team has an informal, hard-working, and supportive team culture which allows us to deliver the best results!
Pirical On Demand is a growing product built on cutting edge data engineering technologies and supported by efficient and scalable data pipelines. As a Junior Data Engineer in the Customer Success team, you will be responsible for building, running and maintaining all these pipelines - as well as contributing to building our POD Data Experience vision.

Our Customer Success team has a remote-first culture where all employees (either remote-based or regularly coming to our London office) feel valued and equally part of the team. We ensure that regular quality-time is spent in person (a quarterly team day in our London office, occasional team events, etc..)  even if our team members are based all across the UK (and even some abroad).

The role...

• Operate our semi-automated data pipelines
• Troubleshoot issues with our pipelines and our clients’ data
• Design and build data pipelines to automatically process our clients’ data
• Build ETL logics to transform and process client’s data for analysis
• Design and build new quality checks and transformations
• Maintain and improve existing pipelines to bring more automation and quality checks
• Interact with clients to collect the right data and to gain in-depth understanding of what the data represents

The person...

• You will have 1-2 years of experience working with data, and understand the value it can bring if effectively handled and transformed.
• You have a good eye for detail and feel satisfied when things are tidy and organised.
• You are a team player and want to work in a great team to achieve results of high standards.
• You are passionate about improving processes and delivering good service to others.
• You preferably have experience with Python, Pandas, SQL and Jupyter Notebooks.

Technologies we use:

• AWS services (S3, SageMaker, Cloud9, Redshift, Neptune, Glue (starting 2023), Redshift Spectrum (starting 2023), and more…)
• Jupyter Notebooks
• Great Expectations, Prefect (starting 2023)
• Custom In-house tools (processing factories, CLIs, pipeline orchestration apps)
• Graph databases, Semantic web standards, Ontologies and knowledge representation

The benefits...

• Training and coaching 
• Private health insurance
• Unlimited holidays
• Remote first culture
• Team Events (Book Club, Clash of Code, Team Yoga, ...)
• Personal Development Opportunities