
Job Overview
Location
Belfast
Job Type
Full-time
Category
Data & Analytics
Date Posted
August 11, 2026
Full Job Description
đź“‹ Description
- • We're looking for a Senior Data Engineer with strong commercial experience building and supporting modern data platforms. You'll work hands-on designing, building, and improving data pipelines that enable analytics, AI, and data-driven decision making.
- • Essential skills include 5+ years' experience in Data Engineering or a related software engineering role, experience building and maintaining production-grade data pipelines and platforms, strong understanding of data modelling, transformation, cleansing, and preparation, strong SQL skills and commercial experience with Python and/or Spark, experience designing and delivering ETL/ELT solutions in cloud environments, experience with modern data platforms such as Databricks, Snowflake, or Microsoft Fabric, familiarity with cloud data services (AWS, Azure, or GCP), experience working with structured and semi-structured data (e.g. JSON, Parquet), and strong problem-solving, communication, and stakeholder collaboration skills.
- • Desirable skills include experience with data engineering tools such as AWS Glue, Azure Data Factory, Apache Beam, or dbt, exposure to data governance and cataloguing tools such as Purview, Collibra, or Unity Catalog, experience with CI/CD, orchestration, and data quality practices, knowledge of analytics, reporting, or AI/ML use cases, and experience working in agile, delivery-focused teams.
- • Typical experience includes building scalable data pipelines and data platforms, data modelling, transformation, and preparation, working with Databricks, Snowflake, Fabric, or similar technologies, implementing ETL/ELT processes and data integration solutions, applying data governance, lineage, and security best practices, and developing solutions using Python, Spark, and SQL.
🎯 Requirements
- • 5+ years' experience in Data Engineering or a related software engineering role.
- • Experience building and maintaining production-grade data pipelines and platforms.
- • Strong understanding of data modelling, transformation, cleansing, and preparation.
🏖️ Benefits
- • Recognition That Matters: A discretionary annual performance bonus that rewards your impact and contribution to our success.
- • Flexibility Built In: Flexible working arrangements and summer hours, because life isn’t 9 to 5, and balance matters.
- • Financial Security: A highly competitive pension scheme with generous employer contributions, private healthcare, and life assurance for peace of mind.
- • Health & Wellbeing: Employee Assistance Programme, mental health support, cycle-to-work scheme, and regular social events to keep our culture vibrant.
- • Time to Recharge: 35 days holiday, enhanced maternity pay, and family-first policies so you can focus on what matters most.
- • Learning Never Stops: From courses to certifications, we’ll invest in your development so you can keep growing and shaping what’s next.
- • Community & Culture: Opportunities to volunteer, give back, and be part of initiatives that make Instil a truly inclusive and connected workplace.
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Instil, Inc.
Instil is a HR technology firm that delivers an AI‑powered talent acquisition and employee experience platform. Its solution helps organizations attract, engage, and retain talent by providing data‑driven insights, personalized candidate journeys, and internal mobility tools. The platform integrates with existing HRIS and ATS systems, offering analytics, skill mapping, and career pathing to improve workforce agility. Instil serves mid‑to‑large enterprises across sectors such as technology, finance, and healthcare, aiming to reduce time‑to‑hire, boost employee satisfaction, and foster continuous learning and development.
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