Data Engineer

TL;DR

Data Engineer: Designing, building, and evolving core pipelines and platforms that power analytics, reporting, and sophisticated data science across the business with an accent on data flow, reliability and efficiency at scale. Focus on enabling faster insights, smarter decision‑making, and a resilient data ecosystem.

Location: Hybrid in London

Company

hirify.global is a data-driven organisation that offers various financial products.

What you will do

• Develop and improve ingestion and transformation pipelines using technologies such as Spark, Scala, Python, AWS, DBT, and Snowflake.
• Own and improve the organisation’s Data Lake environment, ensuring it remains robust, scalable, and future‑ready.
• Own ETL processing, table refreshes, defect resolution, and other BAU activities.
• Continuously optimise performance through concurrency, multi‑threading, automation, and best‑practice engineering patterns.
• Integrate data from multiple sources and solve sophisticated data challenges with creativity.
• Work within Agile delivery frameworks to ship high‑quality, cloud‑native data solutions via CI/CD.

Requirements

• Strong problem‑solving skills and a passion for engineering clean, reliable, high‑performance data solutions.
• Hands‑on experience with modern data technologies and cloud platforms.
• A focus continuous improvement, automation, and operational excellence.
• The ability to collaborate across teams and contribute to the evolution of an enterprise‑wide data platform.

Culture & Benefits

• An equal opportunity employer and believe that differences create a vibrant, authentic working culture.
• Colleagues feel able to bring their whole selves to work.
• They don’t discriminate on the basis of protected characteristics or identities.