Data Engineer

Ascent Software; United Kingdom; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading software firm is seeking a Senior Data Engineer to tackle complex data challenges. This role involves collaborating with teams to create high-quality data products while working in a hybrid environment. Candidates should have proven Azure Data Engineering experience with knowledge of related technologies like Azure Databricks and Power BI. Strong communication skills are essential. Join a dynamic team that values investment in people and offers opportunities for growth.

Benefits

Flexible work environment

Mentorship opportunities

Qualifications

• Proven success as an Azure Data Engineer.
• Expertise in Microsoft Fabric and supporting data technologies.
• Strong verbal, written, and presentation skills.

Responsibilities

• Collaborate with stakeholders to produce high-quality data products.
• Build trusted relationships and optimize data assets.
• Support and mentor junior team members.

Skills

Azure Data Engineering

Azure Data Products

DevOps

Exceptional Communication

Versatile Experience

Agile Methodologies

Education

Microsoft certifications preferred

Tools

Azure Synapse Analytics

Azure Databricks

Power BI

Job description

If you like providing efficient, effective solutions to complex challenges, join us at Ascent! Be at the heart of helping achieve extraordinary things with software and data for our customers!

This position is available for candidates based in Portugal, Malta and Bulgaria.

About Us

Ascent has recently been acquired by Acuity Analytics . This is both a significant milestone for us and a tremendous opportunity for you. Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans. We deliver deep insights and domain-led digital transformation to high-growth and heavily regulated organisations. To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency.

About the role

As a Data Engineer at Ascent, you get to work at the heart of our customer businesses to understand their data problems, identify needs and develop solutions to help them. You’ll join our practice of market-leading data professionals and work typically as part of a cross-functional team on customer projects, supporting their journey through digital transformation, or helping them do existing things in a much better way.

Your Role

As a Senior Data Engineer, you will:

• Collaborate and Innovate: Partner with both internal and customer stakeholders and teams to understand business needs and produce high quality data products and assets
• Create Success: Work alongside our solution architects to build trusted customer relationships, and lay the foundation for successful, best practice data engineering
• Leverage Expertise: Be a subject matter expert in data engineering and surrounding practices and services. Build well-structured data pipelines, elegant data models and supporting transformations and tests
• Share Experience: Support and mentor more junior team members, stay current with emerging trends and share insights through blogs and other media
• Work in a Hybrid Environment: Participate in weekly in-person meetings at our London or Bristol offices, with occasional travel to customer sites. Enjoy a flexible blend of remote and on-site work
• Contribute to Accelerators: Help evolve Ascent’s Data accelerators, patterns and metadata frameworks, enabling customers to rapidly implement effective solutions from both a technology and business perspective
• Data Engineering architecture. Building up blueprints and guides when implementing solutions. Where possible we need to implement top level designs that can be applied to multiple clients
• Pre-sales support. Be a part of the pre sales initiative to give a Data Engineering viewpoint of proposed solutions

Your Skills

• Azure Data Engineering: Proven success as an Azure Data Engineer, with the ability to consult, advise, engineer and optimise our customer's data products and assets.
• Azure Data Products: Expertise in one or more of the following platforms: Microsoft Fabric, Azure Synapse Analytics and Azure Databricks, and experience in some of the supporting data technologies like Power BI, Microsoft Purview, Azure SQL Database, Azure Cosmos DB, Azure Data Lake, etc.
• Azure: Understand core Azure infrastructure concepts and tools (Networks, Identify/Entra, ARM, BICEP, Terraform, etc). You don’t need to be an expert in these but need to understand where they fit into the picture.
• DevOps: Experience with CI/CD promotion from Dev to Prod, through tools like Fabric, Azure DevOps, and/or GitHub.
• Exceptional Communication: Strong verbal, written, and presentation skills to both internal and external audiences.
• Versatile Experience: Working with varying organisations, from SMC to Enterprise.
• Agile Methodologies: Commercial Agile experience is desirable.
• Certification Preferred: Microsoft certifications are advantageous.
• AI Aware: An understanding of Data Science and knowledge of Generative AI would be beneficial, but not a firm requirement.

People are at the Heart of our Business.By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive. Check out this page for more details.

If you have any questions contact our Talent Acquisition team on ta.admin@acuityanalytics.

For more details about life at Ascent, check out our Life Page here.

Ascent is now an Acuity Analytics. Read here.

Please indicate your country of residence *

Do you have an EU Citizenship? *

Since this role is only available to residents of either Bulgaria, Malta or Portugal, are you a resident of these locations or willing to relocate to one of these locations? *

Could you please indicate your earliest availability to join our team following a prospective offer? (Notice Period). In Days *

Please state your annual gross salary expectations: *

Do you consent for your data to be kept for a period of 12 months following this application process? This would allow us to reach out to you should we have similar roles in the future. *

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