Senior Data Engineer (Python)

Reposted 10 Days Ago
Be an Early Applicant
3 Locations
Remote
Senior level
Cloud • Software • Consulting
The Role
The Senior Data Engineer will build, test, and operate scalable data products and machine learning solutions while ensuring high data quality and supporting production deployments.
Summary Generated by Built In

It’s one thing to deliver a technical project. It’s quite another to delight a customer while doing it.     

  
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 delivers 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 (Python), you will play a key role in building, testing, and operating scalable data products and machine learning solutions. You’ll work closely with data scientists, engineers, and business stakeholders to design robust data pipelines, ensure high data quality, and support production-ready deployments. 

In this role, you’ll contribute across the full data lifecycle — from ingestion and transformation to deployment, testing, and operational support. You’ll also help strengthen our IT governance processes through code reviews and collaboration, while continuously improving automation and reliability within our data platform. 
 

Skills and Requirements 

Required Skills 

  • Strong experience with Python, including PySpark and pandas 
  • Solid knowledge of SQL for data transformation, validation, and testing 
  • Hands-on experience with Azure DevOps, especially CI/CD pipelines 
  • Experience implementing automated tests (e.g. pytest, SQL-based tests) for data products and machine learning models 
  • Ability to design and implement data ingestion pipelines (initially as a Proof of Concept) 
  • Strong understanding of data quality principles, with the ability and willingness to dive into business logic 
  • Experience supporting operational activities in a production environment 
  • Comfortable reviewing pull requests and contributing to IT governance and code quality standards 

Nice to Have 

  • Experience with Databricks, ideally including Databricks Asset Bundles 
  • Exposure to Power BI, with potential to support deployment of dashboards in the future 
  • Familiarity with deploying and operating machine learning models in a data platform 

Why join us   

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.  

Top Skills

Azure Devops
Databricks
Pandas
Power BI
Pyspark
Pytest
Python
SQL
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The Company
London
452 Employees
Year Founded: 2005

What We Do

Ascent is a design-led software, data and cloud business that specialises in advanced analytics and AI. We design, build and manage cloud-native products, solutions, platforms and experiences on Azure. Our community of engineers, architects, data scientists, experience designers and consultants is here to help customers do something new, or do something better. Ascent is home to 450+ technology specialists across 5 key European locations (UK, Germany, Portugal, Malta and Bulgaria). Our talented, consultative teams deliver a range of solutions, from digital product and service design to mobile app development, API integrations, data engineering, AI and data science. Our modern app, data and infrastructure platforms help businesses leave legacy behind and enable rapid, efficient innovation

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