Senior Data Engineer

If you are looking for a fast-growing company that ticks all these boxes and more, working at CobbleWeb may be the opportunity you’ve been looking for.

Help us democratize the development of online marketplaces like Amazon, Airbnb and Uber. Improve the lives of millions of consumers with best-in-class multi-vendor ecommerce solutions. Revel in the challenge of matching each project with the right tech stack.

Enjoy collaborating and having your voice heard in a fully remote, but closely-knit, international team, headquartered in London, United Kingdom.

We are looking for an experienced Data Engineer who will help us create and manage appropriate metrics models for our clients’ marketplace projects.

That includes collaborating with our Business Analyst to identify the right metrics for each project and then collecting, managing, and converting raw data into useful information.

Our ideal candidate understands that the metrics models that we build during the Discovery phase of each project go beyond determining what users are doing; they aim to seek the fundamental reason why things exist at all.

Your mission is to help our clients discover their business in a way that will constantly evolve their thinking and their products to realise their ultimate vision.

You will help us build CobbleWeb’s internal communication system and knowledge base known as Umy. This set of internal tools will support our globally distributed company structure.

What you will be doing

• Design, deliver and continuously test data pipelines that will aggregate data into reports.
• Collaborate with the team to create innovative proofs-of-concept, pilot projects, minimum viable products, and business cases.
• Transform data into valuable insights that inform business decisions, making use of our internal data platforms and applying appropriate analytical techniques.
• Help us to understand our users and serve them better through data, conversations, and active research to hear from them directly.
• Engineer reliable data pipelines for sourcing, processing, distributing, and storing data in different ways, using data platform infrastructure effectively.
• Produce and automate delivery of key metrics and KPIs to the business. In some cases, this will mean simply making data available and in others it will constitute developing full reports for end users.
• Monitor usage of data platforms and work with clients to deprecate reports and data sets that are not needed and create a continuous improvement model for the data.
• Work with clients to understand data issues, tracing back data lineage and helping the business put appropriate data cleansing and quality processes in place.
• Work with stakeholders to define and establish data quality rules, definitions and strategies in line with business strategies and goals.
• Monitor and set standards for data quality.
• Prioritise data issues.