Senior Data Engineer

The creative mind behind every project.  Put your skills to the test to build solutions that continue to shape the world we live in. 
 

About Us    

We are Ascent and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business.  

We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms.  

We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too  

At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our offices. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office.  

About the role 

As a Senior Data Engineer, you will make an impact on the future of data-driven innovation by joining our dynamic, forward-thinking team. As a Senior Data Engineer, you'll play a key role in crafting the data platforms, models, and pipelines that inform strategic decision-making for our customers and prepare data for a plethora of use cases from simple analytics to Generative AI and Data Science. This role reports into our Principal Data Engineer.  

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 customers 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.   

Working at Ascent 

At Ascent we promote a healthy work-life balance by offering flexibility in where you work.  We also promote well-being and provide access to Well Being Coaches.  
 
Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity Ascent also offers a variety of benefits in each of our countries. 
 
Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply. 

If you have any questions contact our Talent Acquisition team on

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

Ascent is now an Acuity Knowledge Partner Company. Read here.