Senior Data Engineer

Found in: Appcast Linkedin GBL C2 - 2 weeks ago

London Area, United Kingdom BPP Full time

BPP Education is entering a new phase of its growth and evolution, attracting thousands more students each year and expanding into new verticals and new markets globally. The BPP Product & Technology (P&T) organisation is evolving rapidly, and driving transformation of its platforms, digital products and experiences, in order to help BPP Education scale and meet the growth of the business in the coming years.



We’re looking for an engineer to help us build BPP’s platforms, products and user experiences. The Data Engineering team will enable BPP to leverage data, to inform and optimise how we deliver scalable, secure and performant experiences that delight and engage learners during their time studying with BPP and beyond, throughout their working lives.



As a Data Engineer, you will report to the Data Engineering Manager. Collaborating closely with teams across BPP P&T department (Data, Product Management, Product Design & Engineering), you will help deliver and evolve BPP Education’s vision to become more customer centred, design and data informed, to build products that meet and exceed our users’ needs across our education ecosystem.




Key responsibilities



  • Run data pipelines to extract data from various source systems (log files, APIs, databases) and load them into our data lake / data warehouse confidentially using modern data tools and technologies
  • Transform data into highly accessible and usable structures (tables)
  • Design data solutions with clear metrics, dimensions, and organised into beautiful and well documented data marts or data meshes that analytics or data products / engineering teams find a joy to use.
  • Responsible for robust testing practises and continuous optimisation, understanding that leveraging different testing methodologies is key to delivering a high quality product to our customers at pace. Feedback on improvements in process.
  • Identify root cause of any production issues and make recommendations on robust and timely solutions. Ensuring that those recommendations are implemented across multiple solutions and designs where appropriate.
  • Capture data requirements from across P&T, and question and understand why / what problems people are trying to solve with data so successful data engineering solutions can be communicated and built
  • Care deeply about the integrity of the data your team manages and applying proactive and common-sense approaches to validating data quality, enabling effective usage of the data sources. Feedback recommendations to improve data quality frameworks.
  • Apply security and protect privacy of all data following data governance policies at all time



Essential Skills

  • Proven experience as a Data Engineer
  • Well versed in the following: cloud-based data storage solutions, data lakes, customer data platforms. (Python, Spark, SQL, Cloud Data Environments such as AWS, GCP, Azure)
  • Good understanding of data modelling methods and data partitioning and compaction methods in Data Lake
  • Experience of working with event driven architectures or real time streaming analytics
  • Confident in writing and reading code in multiple languages
  • Possess a deep understanding of how to translate product and business goals into data technology solutions.
  • Demonstrable experience of working in Agile environments and more importantly an Agile culture and ethos
  • Passionate about what you do and have a high interest in keeping up with current best practices in your areas of expertise.
  • As a great influencer with great communication skills, you love sharing your knowledge with others and helping them grow.



Our Technology Stack

  • Snowflake
  • Salesforce CDP
  • AWS
  • AWS Lakeformation
  • AWS Kinesis
  • AWS Event Bridge
  • Glue/Glue Data Brew
  • App Flow
  • NOSQL Databases e.g. DynamoDB
  • SQL Databases e.g. MySQL



Our Interview Process


We have designed our hiring process to be efficient and to help you show your best self. Our interview process is three rounds:


  1. A 30-minute call with a member of our talent team.
  2. A technical screen with a hiring manager, this will typically be with our Head of Data Engineering.
  3. Final interview – This will include a technical interview for 60 minutes with two members of the data team alongside a values interview for 45 minutes which will be a behavioural and competency-based interview.


Our Talent Acquisition team will be your main point of contact and prep you for interviews. You will be given opportunities in each interview to ask them questions. We will provide interview feedback to every candidate that interviews with us and our average interview process takes between 2-3 weeks in total.



How we work at BPP


We have offices all over the UK, however our Product & Tech roles are primarily based out of our offices in London (Waterloo). Our overarching flexible working principle is - We're all trusted, engaged in what we do, and are all individually best placed to balance the varying demands on our time from work, family and any other commitments we might have.


The emphasis is on looking after our responsibilities and achieving great things, not watching the clock. Unless you're a remote worker, we expect you to be in the office a couple of times a week, aligned to the days your colleagues are in, to build better relationships and get the benefits of face-to-face communications, as well as those ad hoc discussions that aid problem solving.

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