Mid Azure Data Engineer (with Purview)

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. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community.

What you’ll do 

As an Ascent Data Engineer, you’ll get involved in a range of interesting and challenging projects on modern cloud data platforms. You will work closely with colleagues and customers to design and create pipelines that transform data in a scalable and repeatable way, producing efficient code that automates the process of ingesting, cleaning and optimising data for analytics, data science, visualization, integration, and other onward use cases. 

Your daily responsibilities can be varied but typically cover:

• Work with stakeholders to understand requirements 
• Build data pipelines and notebook to transform data 
• Model data to provide optimal data sets for downstream systems 
• Update data catalogue classifications, lineage, and metadata programmatically and through tools 
• Work as part of a team responsible for data engineering and data governance 
• Work with a wide range of source systems and Azure data services 

Skills and experience required

• Excellent verbal and written communication skills, comfortable explaining technical aspects of a task or project to non-technical stakeholders. 
• Proven experience working in modern cloud data lakehouses and warehouses to produce quality data assets 
• Solid experience with the Azure data engineering stack, for example: Azure Data Factory, Azure Synapse or Databricks, Azure Data Lake, Azure Blob, Cosmos DB 
• Programming skills in Python Notebooks, with a good grasp of how Spark engines work “under the hood” to ensure optimal processing. 
• Experience with Azure Purview, cataloging, metadata management, data lineage, classification, etc. 
• Comfortable working in, and contributing fully to Agile teams, using methods like Scrum and Kanban. 

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 favorably 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.