Data Engineer

TL;DR

Data Engineer: Designing, building, and evolving core data pipelines and platforms that power analytics, reporting, and data science, with an accent on ingestion, transformation, and performance optimization. Focus on building robust, scalable, and future-ready data ecosystems and integrating data from multiple sources to enable faster insights and decision-making.

Location: Hybrid in London

Company

hirify.global is a data-driven organisation looking for a Data Engineer to help shape the backbone of its data infrastructure.

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.
• Manage ETL processing, table refreshes, defect resolution, and other business-as-usual activities.
• Continuously optimise performance through concurrency, multi-threading, automation, and best-practice engineering patterns.
• Work within Agile delivery frameworks to ship high-quality, cloud-native data solutions via CI/CD.
• Integrate data from multiple sources and solve sophisticated data challenges with creativity.

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 on continuous improvement, automation, and operational excellence.
• Ability to collaborate across teams and contribute to the evolution of an enterprise-wide data platform.
• English: B2 required

Culture & Benefits

• Value all types of diversity and are an equal opportunity employer.
• Committed to an inclusive working culture, ensuring all colleagues feel able to bring their whole selves to work.
• Ensure jobs are inclusive and support people with disabilities or caring responsibilities in the application and interview process.
• Provide reasonable adjustments to support candidates during the application and interview process.