Job Description
I'm working with a world-class, product-led technology company in Edinburgh to help them find a DataEngineer to join their growing team (hybridworking, typically 1-2 days in the office). This is an opportunity to join a business operating at seriousscale, building data systems that power products used by millions of customers.
You'll be joining a high-performing data engineering team where data is central to how the organisation makes decisions. The team is responsible for building and maintaining both batch and streaming pipelines that support analytics, machine learning and key business reporting. It's a fullyhands-on role in a modern, cloud-first environment, working on scalable, production-grade data solutions.
As a Data Engineer, you'll design, develop and maintain reliable data pipelines and infrastructure, with a strong focus on data quality, performance and clean engineering standards. You'll collaborate closely with analysts, data scientists and fellow engineers to deliver high-quality, consumable datasets while contributing to best practices across the wider platform.
You'll be working heavily with Python, SQL and Spark, using tools such as Databricks, Airflow, dbt and Kafka within AWS. Experience with modern data stacks is important, along with a solid understanding of data warehousing concepts, ETL/ELT processing, dimensional modelling and both batch and real-time ingestion patterns.
Given the scale they operate at, reliability and performance are critical. Experience building robust pipelines, working with orchestration and monitoring tools, and contributing to well-tested, scalable data solutions will be highly valuable.
The organisation has grown significantly over the past few years and continues to scale, meaning there is genuine scope for progression as the data function continues to expand. Their office is based in centralEdinburgh and offers a great environment for collaboration when onsite.
In return, they're offering a competitivesalary and an excellent overall benefits package which includes a bonus and unlimitedholidays. Hybrid working is standard (ideally 1-2 days in the office).
If you're keen to join a fast-growing, data-driven organisation where you can work on systems operating at real scale, pleaseapply or get in touch with MatthewMacAlpine at CathcartTechnology for a chat.
Cathcart Technology is acting as an Employment Agency in relation to this vacancy.
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