Data Engineer
Manchester, England, United Kingdom
Boohoo Group
Shop boohoo's range of women's and men's clothing for the latest fashion pieces you need to be adding-to-basket, with 100s of new styles landing every day!The role
As part of migrating and expanding our analytics platform we have a new exciting Data Engineer role, critical to helping us make more data quickly available and into meaningful management information and insight. As a Data Engineer you will be responsible for the end-to-end creation and maintenance of our cloud analytics infrastructure and MI outputs servicing all internal customers including the data science and e-commerce teams to warehouse operations and financial performance. This would suit someone looking for a role that is fluid and flexible and will provide some autonomy and accountability.
Your team
We started out as one brand with only three team members in 2016, today we are now made up of 13 amazing brands and counting, we have offices all over the world and we've grown to a 6,000+ strong team we call our boohoo family - and we don’t plan on stopping yet. We have big ambitions, huge potential and a clear strategy to continually evolve and grow the business. It’s a seriously exciting time to join us and influence the next chapter of our success.
In BI, Data & Analytics, we’re the team in charge of the end-to-end data ingestion, curation, governance, real-time reporting, analytics and insights for the entire boohoo Group. We want to enable more automated data-driven decisions through Artificial Intelligence and Machine Learning. We work with real-time reporting, keeping the business up-to-date on the brands’ commercial performance hour by hour, every single day.
What you'll be doing
- Report into and work alongside the Data & MI Manager to design the greenfield cloud based data platform
- Develop highly scalable, robust data pipelines transforming raw data into the enterprise-wide Data Lake and Data Warehouse
- Design ETL processes to manage batch and real time based ingestion, data integration, cleansing and validation
- Work closely with business stakeholders gathering requirements and delivering a solution from source data to production MI
- Work with the Data Science & Insight team to help expedite and prepare data for analysis
Working with us
To succeed here, you have to love working at pace. It’s relentless, but we love it. Change is a certainty – you need to adapt and be agile. We want you to challenge the status quo, innovate and be open to trying new things. We’re always pushing boundaries. We empower our people, giving them freedom and autonomy to learn and grow in their roles. We’re passionate, agile, creative and one team.
More about you
- Relevant experience in a data engineering or a data warehousing role
- Solid SQL, Python and possibly Spark skills working with large and complex datasets
- Some exposure of MSSQL, MySQL, AWS platform (S3, Athena, Redshift)
- Some experience of dimensional modelling, delivering front end MI data a bonus
- Highly organised and process driven
- Self-motivated and enthusiastic approach to work
- Ambitious, driven individual who excels in challenging environments
- Team player, able to work with multiple business functions to achieve objectives GCP experience preferred (Big Query, batch and streaming pipeline technologies).
Why join us
We’ve set our sights on dominating the global e-commerce fashion market, and because we’re 13 brands (and counting), there are plenty of opportunities to grow your career. Our mission is to create a workplace where everyone is respected, their individual differences are valued, and they can be themselves at work without exception.
- You’ll get the opportunity to take part in our various share schemes
- Core hours enable you to flex your working times around your needs on an ad hoc basis
- Benefits that support your health and wellbeing
- There’s up to 40% discount off our all of our brands
- Our social calendar? Next level
- With HQs in Manchester and London and offices across the globe (some are dog friendly!), we offer a buzzing atmosphere and the boohoo family culture wherever you work
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Athena AWS BigQuery Data pipelines Data Warehousing E-commerce Engineering ETL GCP Machine Learning MS SQL MySQL Pipelines Python Redshift Spark SQL Streaming
Perks/benefits: Career development Flex hours Flex vacation Health care
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