Where We Support You In Data Engineering
We work with data teams and engineering talent across the UK and Ireland. Whether you are hiring or looking for your next move, we focus on roles where depth, judgment and real delivery experience matter.
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Data Pipeline Engineering
Pipeline roles suit people who enjoy building and maintaining the core flow of data. We support Data Engineer, Senior Data Engineer, ETL Developer and Pipeline Engineer opportunities. These roles involve orchestration, strong SQL, performance optimisation and true production ownership. For employers, you get people who keep systems running cleanly and reliably.
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Building the tech backbone for an AI start-up in Dublin
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How we helped a Belfast fintech hire its first engineering team
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Cloud Data Engineering
For engineers who want to work with cloud native tooling, we place AWS, Azure and GCP Data Engineers and wider Data Platform Engineers. These roles focus on lakehouse builds, automation, migration and cloud scale. For employers, this means talent that can modernise and stabilise your cloud estate.
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Searching for the perfect Data Engineer?
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Looking for your next Data Engineering Role?
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DataOps and Platform Reliability
If you prefer solving delivery issues and improving workflows, DataOps and platform engineering roles may fit. We support engineers working in CI/CD, testing, observability and automation. For teams, these hires reduce friction and support faster, safer releases.
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Learn and connect at our DataOps events
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Trusted by leading organisations
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Modern and Advanced Engineering
For engineers who enjoy real time systems, streaming or modern transformation tooling, we place Analytics Engineers, Streaming Engineers and Data Engineers skilled in Kafka and dbt. These roles help teams move beyond batch processing and build capability that can scale with demand.
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Want to talk to someone who knows an engineer from an architect?
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Architectural and Foundational Engineering
Architect roles suit people who enjoy structure, long term planning and technical leadership. We support Data Architect, Enterprise Data Architect and Platform Architect roles. For employers, these hires bring consistency, clear standards and future ready design.
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Explore senior and architectural engineering roles
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How organisations build engineering teams that last
Employer guidance
What we have achieved
Our Partnerships
The technology industry never stands still — and neither do we. At MCS Group, we recruit across every major area of tech, helping businesses in Belfast, Dublin, and across the UK and Ireland find the people who move them forward.
Opportunities in Data, AI and Analytics
Specialist Roles With Teams That Build Strong Data Foundations
MCS Group supports organisations that want solid engineering practice and helps people move into roles where they can build systems that scale. You get straight answers on stack maturity, data quality, ownership, delivery expectations and long-term plans, so both sides understand what is actually needed to succeed.
Performance in this space relies on clean data, clear objectives and the right level of engineering support. We match teams and specialists who can turn research into outcomes. There is full visibility on data access, model lifecycle, deployment routes and the strength of the environment around them, so work can move from experimentation to impact without friction.
Insight only works when the foundations are reliable. We help teams bring in people who can translate messy information into decisions and highlight where processes or data flows are blocking progress. There is clarity on reporting structures, stakeholder involvement, toolsets and the level of freedom to shape better insight practices.
Architecture is often where the real pain sits. Fragmented systems, unclear ownership and years of technical debt slow everything down. We support organisations that are ready to invest in strong foundations and help bring in people who can design, rebuild or stabilise their data estate. Everyone gets a clear picture of system health, roadmap priorities and how much change is genuinely possible.
Applied AI only works when the product scope, engineering support and data availability are aligned. We connect teams building meaningful AI features with specialists who know how to deliver them. There is transparency on workflows, integration points, evaluation methods and the scale of the opportunity, so the work stays grounded and delivers value from day one.
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Building strong data teams starts with solving the real problems
Data roles can look similar on paper but be worlds apart in practice. Pipelines, models, dashboards and governance all break for different reasons. You need people who understand the difference and can guide you to the right skill set without wasting time.
Real insight into data, AI and analytics work
Our consultants specialise in the details most teams struggle to assess. Pipeline design, SQL depth, model deployment, feature engineering, MLOps, BI stack differences, governance frameworks. We know what strong looks like because we speak to data professionals about this work every day.
Example linkShortlists built around the problem you need to solve
If you need cleaner pipelines, you meet Data Engineers with real ingestion and orchestration experience.
If your models are stuck in notebooks, you meet ML Engineers who can push code into production.
If reporting is unclear, you meet BI and analytics specialists who can interpret insight, not just visualise it.
Clear, steady support throughout the process
Data hiring often becomes noisy. Stakeholders want different things, requirements shift and timelines shorten. We keep everything organised, communicate quickly and give feedback that helps you make decisions with confidence.
Flexible support for data teams of all sizes
Whether you need one Data Engineer to stabilise a system, a Data Scientist who can deliver applied modelling, a BI specialist to bring clarity or a wider team to support AI adoption, we adapt around your priorities. No fixed templates. Just support that matches the work ahead.
How Can We Help?
Choose what you need and we’ll take you to the right place.
I’m looking for data engineering jobs
Access specialist data engineering roles across analytics, data platforms and cloud environments. From senior individual contributor positions through to leadership roles.
I’m looking for senior or lead data engineering jobs
Explore leadership and advanced technical roles with growing and established organisations.
I need VP Engineering support
Access experienced engineering leaders to drive scale, delivery and transformation.
I need help defining the role
Get clarity on responsibilities, structure and market expectations before you hire.
I need specialist project support
Access specialist data engineering expertise for complex or time-critical projects. From cloud migrations and pipeline optimisation to platform modernisation, we provide engineers who can integrate quickly and deliver measurable results.
I’m looking for CTO roles
Browse senior technology leadership opportunities across Ireland and beyond.
The Specialists Supporting Your Growth
Meet the Software Engineering Recruiters Who Know the Market
You’ll work with consultants who know the stacks, the hiring pressures and the difference between someone who looks good on paper and someone who can step into a live codebase and deliver. From scaling teams to critical hires, we keep the process focused, informed and practical.
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A testimonial carousel enhances a website by showcasing positive client feedback dynamically, which builds trust and credibility with visitors. It provides social proof, engaging users with real experiences, and improves user interaction through visually appealing, rotating testimonials. This feature can increase conversions and customer confidence in the brand.
Ready to Move Forward?
Find the right people. Find the right role. Make it count.
Whether you are exploring data engineer jobs, building a new pipeline team or looking for a recruitment agency with real data expertise, we’ll guide you to the right next step. Talk to a team that understands the tools, the talent and the pace of modern data engineering.