Junior Data Engineer (ID: Ry2L6aNz)

As a Junior Data Engineer, you will work on our unique, award-winning people analytics platform. The Data Team team consists of 10 ambitious team members, including Data Engineers and Implementation Managers. The team has an informal, hard-working, and supportive team culture which allows us to deliver the best results! We have developed a growing product built on cutting-edge data engineering technologies and supported by efficient and scalable data pipelines. As a Junior Data QA Analyst, you will be responsible for running and maintaining all these pipelines - as well as contributing to building our POD Data Experience vision.

Learning and development is an integral part of the culture. We provide regular training sessions and 1:1 mentoring that ensures you are always progressing. Our team is a hybrid. You will be required to be in our London Shoreditch office two days a week.

Why join us?

• You’re not just a number. You have a voice and can make an impact. It’s extremely rare if you have a good idea here that it won’t be given due diligence. The company will support you to bring them to fruition with a good level of guidance and support. 
• The team is talented, hard-working, and supportive.
• HUGE amounts of autonomy and flexibility in a less structured environment than a big company.
• The company values logic and continuous improvement. Problem-solving from first principles is normal and encouraged. 
• Ample L&D opportunities. It’s a place where the brighter you want to shine, the company is likely to help facilitate that.
• We are looking for a Junior Data Engineer to join our Team. Your mission is to ensure all of the data in our market-leading POD product is up to date-and accurate. This role is perfect for someone who is driven by impact and wants to work in a mission-driven environment.

Junior Data Engineer Role:

• Maintain and improve existing pipelines to bring more automation and quality checks
• Investigate and resolve issues in our data pipelines efficiently and quickly
• Operate our semi-automated data pipelines
• Work closely with our clients to troubleshoot their data problems
• Interact with clients to collect the right data and to gain an in-depth understanding of what the data represents
• Interact with our pipeline engineers and implementation managers who are setting up new pipelines and upgrading existing pipelines

Required experience:

• You have some experience working with data (cleaning, transforming or analysing data)
• You have experience working with at least two of Python, Pandas, SQL, and Excel/Google Sheet
• You have some form of customer-facing experience

The person:

• You have an engineering mindset, enjoy solving problems and implementing future-proof solutions
• You have a good eye for detail and feel satisfied when things are tidy and organised
• You understand the value data can bring if effectively handled and transformed
• 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 own and drive your work and can balance conflicting priorities

Technologies you will be using:

• Python (Pandas)
• SQL
• AWS (Cloud9, SageMaker, S3, Redshift, Glue, and more…)
• Jupyter Notebooks
• Datalakes
• A suite of internally-built tools (ETL, automated data quality checks, automation tools)

Pirical is committed to being an inclusive and diverse place to work. The excellent work produced at Pirical would not be possible without bringing together all of the different backgrounds, experiences, and skills that our team has. We treat every employee equally, and fairly regardless of age, disability, gender, marital status, race, religion, or sexual orientation. It is vitally important that each of our team members feels confident, comfortable, and empowered.

Note to recruitment agencies: Pirical is committed to building a long-term approach to our hiring strategy, we are therefore already working in partnership with selected talent partners. We, therefore, ask you to hold off sending speculative CVs or sales approaches through this email.

Benefits:

• Casual dress
• Company pension
• Work from home

Schedule:

• Monday to Friday

Application question(s):

• Why would you like to join us?
• Please state your desired salary expectations for this role

Work authorisation:

• United Kingdom (required)

Work Location: In person

Postion: Junior Data Engineer  -  Job Type: Full-time, Permanent  -  Pay: £36,500.00 per year