Data Engineer

We're hiring for a global technology company that provides the backbone for applications used by billions of people daily, powering everything from banking to online shopping. This organization is uniquely positioned as a leader in modern application development, with a massive reach across various platforms and deployments.
The Role
• Design, build, and maintain analytical pipelines and reporting solutions.
• Write sophisticated, performant SQL to extract insights from large-scale datasets.
• Leverage AI and machine learning features to augment analytics workflows.
• Develop internal tooling and automation using Python and modern frameworks.
• Communicate findings clearly to technical and non-technical stakeholders.
• Understand and document data architecture and lineage.
What You'll Need
• 7+ years of professional experience in data analytics engineering, data engineering, or a related field.
• Expert-level SQL skills, with BigQuery and MariaDB experience strongly preferred.
• Strong Python and/or JavaScript skills for building pipelines, tools, and APIs.
• Deep understanding of data architecture and how data flows across systems.
• Hands-on experience with AI/ML capabilities and their practical application.
• Excellent communication skills and the ability to explain complex analysis clearly.
What's On Offer
• Competitive salary (specifics not provided in original description, but compensation package is described as very competitive).
• 25 days paid annual leave plus holidays.
• A massive degree of flexibility and freedom.
• Unparalleled learning and growth opportunities.
Apply via Haystack today!

Work arrangement
Yes