Company Overview
Version 1 has celebrated over 28 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.
Why Version 1?
We’re an award‑winning employer reflecting how our employees are at the very heart of Version 1 and what we do.
Benefits
* Share in our success with Quarterly Performance‑Related Profit Share Scheme.
* Strong career progression & mentorship coaching through Strength in Balance & Leadership schemes.
* Flexible/remote working and supportive work‑life balance.
* Financial wellbeing initiatives including Pension, Private Healthcare Cover, Life Assurance, Financial advice and Employee Discount scheme.
* Employee wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and 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.
Job Description
Build and maintain robust data pipelines and infrastructure to support analytics and AI initiatives.
Responsibilities
* Design and implement ETL/ELT pipelines for efficient data movement and transformation.
* Manage and optimize data lakes, data warehouses, and streaming data systems.
* Ensure high standards of data quality, integrity, and governance across platforms.
* Identify and resolve system bottlenecks to improve overall performance.
* Create and maintain comprehensive documentation of data architecture, flows, and processes.
* Provide ongoing support to internal teams through knowledge transfer and collaboration.
* Troubleshoot data‑related issues using strong analytical and problem‑solving skills.
* Suggest and implement automation improvements to enhance team efficiency using Python or related technologies.
Qualifications
* 7+ years experience in Applications Development Lifecycle.
* Proficiency in SQL, Python, and Apache Spark.
* Strong understanding of data modelling and data warehousing principles.
* Experience with cloud platforms such as AWS and Microsoft Azure.
* Hands‑on experience with tools like Azure Data Factory, AWS Glue, or similar.
* Previous programming experience in Python, including writing efficient scripts for data extraction across multiple databases.
* Familiarity with data governance and best practices for maintaining data quality.
* Effective communication skills in English, both oral and written.
Job Details
* Seniority Level: Mid‑Senior level
* Employment Type: Full‑time
* Job Function: Information Technology
* Industry: IT Services and IT Consulting
* Location: Dublin, County Dublin, Ireland
* Salary Range: €90,000 - €120,000
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