Glean are looking for a talented, passionate Data Engineer who is excited by the prospect of working in our data and analytics team. We are focussed on pragmatic delivery with quality at the centre of everything we do. We use a mixture of front-end (Typescript, react) and back-end technologies (JVM/ Kotlin), with an automated build pipeline (Kubernetes, terraform, helm etc.) We are trusted by the business to own our technology stack and processes, and repay this trust by delivering regularly and predictably.
As a Data Engineer, your role is to gather data from multiple data sources for reporting purposes. You will work predominantly with our BI Analyst as well as our software engineering team, but will have the opportunity to take ownership of the role and influence the strategic direction of the Data and Analytics team. Additionally, you will help to support the software delivered by the engineering team. Reporting to the Data and Analytics Lead, your responsibilities will include:
Responsibilities - Technical
Build and design data pipelines.
Ensure data is reliably stored and secured.
Produce clean, efficient code based on requirements.
Produce maintainable code.
Focus on testability of delivered solutions.
Integrate software components and third-party programs.
Verify and deploy programs and systems.
Troubleshoot, debug and upgrade existing software.
Recommend and execute technical improvements.
Create technical documentation for reference and reporting.
Learn and develop your technical expertise in areas relevant to Glean.
Support releases as they progress through test environments to production (live) environments.
Responsibilities - Interpersonal
Impart knowledge onto and mentor our BI analyst on all things Python-related.
Foster a fun, safe environment for engineering-based upon trust, collaboration and respect.
Mentor other engineers when you have domain expertise that they have yet to acquire.
Passionate views, loosely held - argue your point of view passionately but be willing to accept that the needs of others or the group or the business may mean that other approaches are adopted.
Your Skills and Experience
Strong programming skills (object-oriented and/ or functional) - particularly in Python.
Strong analytical skills.
SQL and persistence technologies.
Solid hands-on experience with ETL tooling.
Ability to demonstrate a growth mindset and a willingness to learn.
Excellent teamwork skills across various specialisms.
Curiosity to explore different technologies.
Strong experience in data warehousing and BI platforms.
Knowledge of data modelling and data structures.
Experience of unit testing.
Back end technologies in JVM or Microsoft languages (We mainly use Kotlin).
Mobile technologies (android and/ or iOS).
Knowledge of best practices in automated testing and code quality.
Cloud services (AWS, Azure, GKE, Kubernetes).
Persistence (Mainly SQL, specifically PostgreSQL), some NoSQL.
Knowledge of best practices in automated testing, Continuous Integration, Automated deployment, code quality etc.
Glean empowers learners with the confidence and ability to build useful knowledge in an age of information overload. Our inclusive learning technology is used by 100,000s of students to gain 21st century learning skills with a proven note taking process. We aim to reduce waste by helping learners to get more value from working with spoken language.
Our mission is to challenge how the world thinks about learning so that it’s more accessible, productive, and purposeful for all learners. Join our values-driven and growing team if you’re excited by our goal to change a million lives for the better.
As well as our mission to change our customers' lives for the better, having happy and engaged employees is also at the forefront of everything we do. Glean is proud to have a two star accreditation from Best Companies, meaning that we have ‘outstanding’ levels of employee engagement. Apply today to find out what makes Glean such a fantastic place to work!