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Data Engineer

Instil

Belfast, Northern Ireland, United Kingdom · À temps plein

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Expérience
2–5 yrs
Salaire
Ouvertures
1
Publié
il y a 6 heures

Where you'll work

Description de l'emploi

The role

Instil is hiring a Data Engineer to build and support data platforms and pipelines with strong commercial experience. In this position, you will work directly with cloud-based data tooling and collaborate with engineers and analysts to create dependable, well-structured data that can power analytics and other downstream needs.

The role is hands-on and delivery-oriented, with emphasis on designing, implementing, and refining data pipelines while building deeper expertise in modern data engineering practices.

Essential experience and capabilities

  • Between 2 and 5 years of paid, commercial experience in data engineering or a closely related data-focused software engineering position.
  • Practical experience handling production data, including data quality, reliability, and error/failure management considerations.
  • Strong analytical problem-solving ability and comfort working when requirements are incomplete, shifting, or still being defined.
  • Good communication skills and a track record of working with cross-functional teams.

Technical background

Commercial experience in a mix of the following areas is expected:

  • Python for data transformation, processing, and pipeline creation
  • AWS data services such as S3, Lambda, and Glue, or equivalent cloud-native services
  • Building, maintaining, and improving ETL or ELT pipelines in live production settings
  • Advanced SQL, including complex querying and query performance optimisation
  • Working with a cloud data warehouse such as Snowflake or a comparable platform, including data models, pipeline support, and warehouse objects
  • Managing semi-structured data such as JSON and Parquet as well as structured datasets

Desirable experience

  • Experience using orchestration or scheduling tools for data workflows
  • Exposure to CI/CD practices for data pipelines
  • Understanding of analytics or BI use cases and the people who consume data
  • Awareness of data governance, access control, or security principles
  • Experience in agile, delivery-focused teams

Benefits and culture

Instil offers a people-focused environment with a benefits package designed to support wellbeing, growth, and life outside work.

  • A discretionary annual performance bonus linked to your contribution and impact
  • Flexible working options and summer hours to support work-life balance
  • A competitive pension with strong employer contributions, plus private healthcare and life assurance
  • Employee Assistance Programme, mental health support, cycle-to-work scheme, and regular social events
  • 35 days of holiday, enhanced maternity pay, and family-friendly policies
  • Support for learning and development through courses and certifications
  • Opportunities to volunteer, contribute to the community, and take part in an inclusive workplace culture

Additional note: the company says this is only part of the overall offer and encourages interested candidates to reach out for more details.

About the company

Instil has spent more than 20 years delivering software engineering and technology solutions to global brands, helping them solve complex problems and innovate with confidence. The business works across legacy modernisation and new digital products, and places people at the centre of its culture.

The employer highlights several awards and recognitions, including being named a Great Place to Work for three consecutive years, ranking in the Top 20 Best Workplaces in the UK for medium-sized companies in 2024, and winning Company of the Year at the Digital DNA Awards 2022.

Location

Belfast, Northern Ireland, United Kingdom.

Additional information

This is a full-time, onsite position. No salary, vacancy count, start date, application deadline, or fixed duration was provided. The posting does not specify internship details. Reference to the employer’s internal campaign tag has been omitted.

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