Data Engineering Capability Lead

Company Description

Version 1 has celebrated over 26 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We’re also an award-winning employer reflecting how employees are at the heart of Version 1.

We’ve been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year – EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023.

As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We’re focused on our core values; using these we’ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally.

Job Description

As an Data Engineering Capability Lead, you’ll be key in helping us scale to meet customer demands. You’ll work with other Data Engineering Leads and report to the Head of Data Engineering Capability. You’ll get to shape how we work, recommend standards and ways of working, and build up a thriving community around you. You will be directly involved in customer projects where engagements are varied and the exposure to cutting-edge technologies is always present.

Role Expectations

· Manage a team of up to 50 people, covering project staffing allocations, chargeability reporting, staff wellbeing, and staff development needs.

· Demonstrate significant depth and breadth of Data Engineering technical expertise.

· Possess well-rounded consulting skills, with experience in data architecture and engineering delivery roles for customers. You will be “hands-on” with customer projects

· Provide leadership, coaching, and mentoring for Data Engineering team members to support their continual development.

· Identify and drive improvements and innovations within your team.

· Support Portfolio Directors and Commercial colleagues to provide advice across all aspects of engagements: compiling and reviewing estimates, presales responses, reviewing TORs/SOWS, and mobilising staffing needs.

· Promote cooperation and knowledge sharing amongst the Version 1 teams and provide a consistent and uniform approach to technology.

· Support marketing, content, webinars, lunch & learns, and speaking at events to support building of the Version 1 brand.

· Work with the wider Version 1 organisation (OCTO etc.) to bring additional value to team.

· Establish a good working relationship with and support Version 1 staff; help retain our people and build a community where people want to stay and grow their career.

Qualifications

Essential Criteria:

· Deep technical expertise in Data Engineering including In-depth knowledge of Data Engineering practices, including Data Storage, Data Visualization, ETL, Data Integration & Migration, Data Warehousing, and Business Intelligence.

· Familiarity with Data Engineering security, data ethics, and legal/compliance frameworks.

· Proven experience in driving innovation, with a focus on emerging technologies such as AI & ML.

· Ability to define best practices and methodologies in Data Engineering, staying abreast of industry trends.

· Working knowledge of the Cloud Adoption Framework and Well Architected Framework.

· Strong collaborative skills, working effectively with cross-functional teams, including DDC Heads, Tech Principals, Sector Heads, Delivery Managers, and Portfolio Directors.

· Strong communication skills with the ability to develop thought leadership materials, including whitepapers, blogs, webinars, etc.

· Proficiency in defining and documenting reference architectures, solution designs, and accelerators for Data Solutions.

· Experience in maintaining technical governance and oversight for solution design and implementation.

· Experience in capacity planning and succession planning to manage workloads effectively.

· Experience in line management to cultivate a high-performance culture within Data Engineering.

Additional Information

Location: This role can be delivered in a hybrid nature from one of these offices Dublin, Belfast, Birmingham, Manchester, Edinburgh or London.

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

One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits, including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology.

We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat.

Our employee-designed Profit Share scheme divides a portion of our company’s profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth.”