Data Engineer (Python/ AWS)

Reposted Yesterday
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Belfast, County Antrim, Northern Ireland, GBR
Hybrid
Mid level
Artificial Intelligence • Cloud • Software • Cybersecurity • Design • Generative AI
We help technology brands transform, innovate and disrupt their markets with secure, category-defining software.
The Role
Design, build, and support production ETL/ELT data pipelines across a cloud data stack. Partner with engineers and analysts to deliver reliable, well‑modeled data, ensure data quality and failure handling, tune SQL and warehouse objects, and handle semi‑structured formats like JSON and Parquet.
Summary Generated by Built In

The Role

We’re looking for a Data Engineer to join a team building and evolving a modern cloud-based data platform.

This is a hands-on role focused on designing, building, and improving data pipelines and services, while also contributing to API design and occasional frontend work where needed. You’ll work across the stack, primarily in Python and AWS, helping to deliver reliable, well-structured data and making it easier for teams to ingest, access, and use it.

The focus is on practical delivery: building ingestion and transformation pipelines, exposing data through APIs, and supporting a platform that removes bottlenecks and enables better use of data across the organisation.

What You’ll Be Doing

  • Design, build, and maintain ETL / ELT pipelines in production environments

  • Develop ingestion and egress patterns to support reliable data access and integration

  • Work with structured and semi-structured data (e.g. JSON, Parquet)

  • Build and maintain data models across a cloud data platform

  • Design and implement APIs to expose data for downstream consumers

  • Contribute to cloud-based data platform development in AWS

  • Support lightweight frontend work (React / TypeScript) for data-focused tools where needed

  • Implement observability practices (logging, monitoring, tracing) across data pipelines and APIs

  • Improve reliability, performance, and failure handling across the platform

  • Collaborate with engineers and analysts to deliver data that supports reporting and operational use cases

What We’re Looking For

  • Experience building and supporting data platforms or pipelines in production

  • Strong Python skills for data processing, transformation, and pipeline development

  • Strong SQL skills, including complex queries and performance optimisation

  • Experience with ETL / ELT design and implementation

  • Experience working with AWS data services

  • Experience working with a cloud data warehouse (e.g. Snowflake, Redshift, or similar)

  • Experience designing and implementing APIs

  • Strong problem-solving skills and ability to work with evolving requirements

  • Good communication skills and experience working in cross-functional teams

Nice to Have

  • Experience with TypeScript or JavaScript

  • Experience contributing to frontend applications (React)

  • Familiarity with observability tooling (logging, monitoring, tracing)

  • Experience with data modelling and metadata management

  • Exposure to CI/CD practices for data pipelines and services

  • Experience working in delivery-focused, agile environments

Why Join Instil?

At Instil, we believe great work starts with happy, motivated people. That’s why we’ve built a benefits package that supports your wellbeing, growth, and life outside of work, because when you thrive, so do we.

  • 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.

And that’s just the start, drop us a note to find out more.

Company Description

Instil has been delivering world-class software engineering and technology solutions for over 20 years, trusted by global brands to solve complex challenges and drive innovation. From modernising legacy systems to building cutting-edge applications, we help our clients navigate an ever-changing digital landscape with confidence and agility.

We’re proud to be an award-winning employer, reflecting how our people are at the heart of everything we do:

  • Recognised as a Great Place to Work® for three consecutive years, and in 2024 ranked in the Top 20 Best Workplaces in the UK for medium-sized companies.

  • Winner of Company of the Year at the Digital DNA Awards 2022, celebrating excellence in Northern Ireland’s tech sector.

Driven by a love for technology and a commitment to excellence, we bring together people who want to make a difference. We’ll support your journey, because your success is part of ours.

#LI-PR1 #InstilCareers

Skills Required

  • 2-5 years commercial experience in a data engineering or data-focused software engineering role
  • Experience working with production data, including data quality, reliability, and failure handling
  • Strong problem-solving skills and ability to work with incomplete or evolving requirements
  • Clear communication skills and experience collaborating within cross-functional teams
  • Python for data processing, transformation, and pipeline development
  • Experience with AWS data services such as S3, Lambda, Glue (or comparable cloud services)
  • Designing, building, and maintaining ETL / ELT pipelines in production
  • Strong SQL skills, including complex queries and performance tuning
  • Experience with a cloud data warehouse such as Snowflake, including data models and warehouse objects
  • Handling semi-structured data formats (e.g. JSON, Parquet) alongside structured datasets
  • Experience with data orchestration or scheduling tools
  • Exposure to CI/CD practices for data pipelines
  • Familiarity with analytics or BI use cases and data consumers
  • Awareness of data governance, access control, or security concepts
  • Experience working in agile, delivery-focused teams
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The Company
HQ: Los Angeles, CA
130 Employees
Year Founded: 2005

What We Do

Founded in 2005, our services include product development, delivering next-generation digital solutions; cyber security, helping teams protect against emerging cyber threats; and artificial intelligence, unlocking the potential of your data and people.

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