Senior Data Engineer

MCS Group is exclusively supporting a fast-growing, well-established technology company in Northern Ireland in their search for a Senior Data Engineer. Our client is expanding its Data Engineering team and is looking for an experienced Data Engineer to help shape the next phase of its data capabilities.

Remote working within the UK - Sponsorship is unfortunately unavailable for this role.

This team is responsible for building a modern, scalable platform that transforms large volumes of proprietary data into meaningful insights, advanced analytics, and AI-driven products. If you enjoy working on complex data challenges and want to help build systems that power real product features - not just internal reporting - this role offers the chance to make a proper impact in a scaling global tech company.

The Senior Data Engineer will play a key role in designing and developing reliable data pipelines and services that support business intelligence, analytics, and next-generation AI capabilities. The environment is cloud-native, collaborative, and focused on building production-ready data products that can scale with the organisation's growth.

This is an opportunity to work closely with engineers, product teams, and data specialists - along with the support of an expert leadership team, to deliver a high-quality data platform used across multiple products and services.

What you'll be doing

The Data Engineer will design and develop data APIs, semantic layers, and curated datasets that enable analytics, reporting, and AI applications
You'll build and maintain scalable data pipelines that support both internal insights and customer-facing product capabilities
You'll work closely with Product Managers and engineering teams to turn business requirements into reliable, scalable data solutions
Structure and model complex engineering and simulation data for analytics, machine learning, and product integrations
Collaborate with data, AI, BI, and software engineering teams to deliver production-grade data capabilities
Partner with QA and business stakeholders to ensure data solutions are well-tested, reliable, and aligned with real user needs
Contribute to CI/CD pipelines, infrastructure-as-code, and DevOps practices supporting data services
Maintain high standards of data quality, integrity, and performance across pipelines and platforms
Evaluate and introduce new tools, frameworks, and architectural approaches to improve the platform over time.

What we're looking for

Strong hands-on experience in data engineering or backend software engineering
Experience working with AWS
Practical experience with data orchestration and ETL/ELT tooling such as Airflow, dbt, Airbyte, Temporal, Fivetran, or similar
Solid understanding of data quality practices, including validation, testing, and monitoring of pipelines
Strong experience in data warehouse design and modern data architecture patterns (e.g. Medallion, Data Mesh, or similar)
High proficiency with Python and SQL
Strong communication skills with the ability to work across both technical and non-technical teams

Nice to have

Experience building data products or customer-facing analytics platforms
Exposure to AI/ML pipelines, MLOps, or emerging GenAI / LLMOps workflows
Salary

Up to £85,000 with a leading benefits package including working from home