Data Engineer

Version 1; Belfast; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A leading technology services company in Northern Ireland is looking for a Data Scientist / Data Engineer. You will design, develop, and deliver high-quality data solutions while building robust data pipelines and generating insights for decision-making. Candidates should have strong proficiency in SQL, Python, and machine learning. The role offers a comprehensive benefits package, including flexible working, career progression, and wellness initiatives.

Benefits

Quarterly Performance-Related Profit Share Scheme

Flexible working hours

Pension and Private Healthcare Cover

Employee Wellbeing schemes

Educational assistance

Generous holiday allowance

Qualifications

• Strong proficiency in SQL, Python, and/or R.
• Experience with machine learning model development and evaluation.
• Hands-on experience with ETL tools and SQL development platforms.

Responsibilities

• Design, develop, and deliver high-quality data solutions.
• Build robust data pipelines and develop predictive models.
• Generate insights to support data-driven decision making.

Skills

SQL

Python

R

Data pipelines

Predictive models

Machine learning

ETL tools

Cloud environments

Data visualization

Tools

Power BI

Tableau

Microsoft SQL Server

Oracle

Job description

Overview

Version 1 has celebrated over 29 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Our expertise enables our customers to navigate the rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services.

We’re an award-winning employer reflecting how our employees are at the very heart of Version 1 and what we do:

• UK & Ireland's premier AWS, Microsoft & Oracle partner
• 3300+ strong, €350/£300m revenue business
• 10+ years as a Great Place to Work in Ireland & UK
• Best Workplace for Women in the UK & Ireland by GPTW
• Best Workplace for Wellbeing in the UK by GPTW

We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you!

Role

We are seeking a skilled Data Scientist / Data Engineer to join our team and play a key role in designing, developing, and delivering high‑quality data solutions. This role combines strong analytical capability with practical engineering skills to build robust data pipelines, develop predictive models, and generate insights that support data‑driven decision‑making.

Responsibilities

• Design, develop, and deliver high‑quality data solutions.
• Build robust data pipelines and develop predictive models.
• Generate insights to support data‑driven decision making.

Qualifications

Required Skills & Experience

• Strong proficiency in SQL, Python, and/or R.
• Experience with machine learning model development and evaluation.
• Hands‑on experience with ETL tools and SQL development platforms.
• Working knowledge of cloud environments (Azure, Fabric, AWS).
• Ability to work with large datasets and apply data quality principles.
• Ability to present complex insights in a clear and simple manner.
• Experience working in Agile delivery teams.

Database & Cloud Management

• Experience working with relational databases such as Microsoft SQL Server and Oracle.
• Ability to use cloud services across Microsoft Azure, Microsoft Fabric, and AWS to support data pipelines and analytics workloads.

Visualisation & Reporting

• Experience building dashboards and reports using Power BI or Tableau.
• Ability to translate analytical findings into compelling visual narratives for stakeholders.

Desirable Skills

• Experience with additional ML interpretability methods (e.g., SHAP, LIME).
• Knowledge of CI/CD practices for data workflows.
• Understanding of data governance, lineage, and cataloguing tools.
• Exposure to modern data platforms or Lakehouse architectures.

Personal Attributes

• Strong analytical thinker with excellent problem‑solving skills.
• Collaborative and confident working with cross‑functional teams.
• Self‑motivated, curious, and comfortable learning new tools or technologies.
• Detail‑oriented with a commitment to high data quality.

Additional Information

Why Version 1?

At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability.

• Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits.
• Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme.
• Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance.
• Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme.
• Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies.
• Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat.
• Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform.
• Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes.

And many more exciting benefits… drop us a note to find out more.

Ekta Bahl - Talent Acquisition Capability Partner

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