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Senior Data Engineer

Data Engineering

Join Ascent and help us do extraordinary things with data for our customers!

About the role

As a Senior Data Engineer at Ascent, you get to work at the heart of our customer businesses to understand their data needs, identify possible problems and help them develop solutions. 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.

What you'll do

As a Senior Data Engineer, you’ll work to design and create pipelines that transform data in a scalable and repeatable way. Producing efficient code that automates the process of ingesting and cleaning the data, you then develop and apply appropriate mechanisms so that data flows toward target data sources as required.
Depending on the project, your daily responsibilities could be quite varied, but typically our Data Engineers:

Understand, build and develop ETL and data integration solutions using a wide array of technologies and data sources
Work with data and big data components and migration strategies
Work with cloud-based infrastructure (Google, AWS, and Azure) for hosting data solutions and applications.

You’ll also get called on from time to time to support Ascent marketing colleagues, pre-sales teams and key partners with some subject matter expertise in data engineering.

Skills and experience required

We’re looking for people with good data engineering skills, and you’ll ideally bring with you:

Proven role experience in developing ETL and data integration solutions
Good knowledge of the Azure data engineering stack - Azure Data Factory, Azure Synapse, Azure Data Lake, Azure Blob, Cosmos DB
Capability in using Databricks, Snowflake and/or Spark
Good experience in a general programming – ideally Python

You’ll have experience working with data warehouse solutions, extracting and processing data in various ways using off-the-shelf tools and open-source tools. You’ll also be really familiar working with Linux or Windows operating systems and version control systems (Git).

We work in Agile methodologies as a preference, so being comfortable working in this way is important. You should be comfortable in a customer facing situation where you’ll need to communicate clearly and effectively in English – often with people who might not be as technically experienced, so good written and verbal English skills are important. You should be someone who is passionate about team collaboration and knowledge sharing, with the passion and drive to achieve goals and targets. We value empathy in our colleagues, and it’s important you bring a growth mindset and a willingness to learn and adapt.

Working at Ascent

We choose hybrid working, where you balance time at the office or with your customers with working at home. You'll earn a competitive salary, with a good range of benefits. Our offices are places to connect and collaborate with colleagues, with socials and regular get-togethers. We take your development and growth seriously, with plenty of opportunities to acquire skills and get certified.

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, maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. Please let us know when you apply if you require any reasonable accommodation.

Find out more

Senior Data Engineer

Data Engineering

Join Ascent and help us do extraordinary things with data for our customers!

About the role

What you'll do

Understand, build and develop ETL and data integration solutions using a wide array of technologies and data sources
Work with data and big data components and migration strategies
Work with cloud-based infrastructure (Google, AWS, and Azure) for hosting data solutions and applications.

You’ll also get called on from time to time to support Ascent marketing colleagues, pre-sales teams and key partners with some subject matter expertise in data engineering.

Skills and experience required

We’re looking for people with good data engineering skills, and you’ll ideally bring with you:

Proven role experience in developing ETL and data integration solutions
Good knowledge of the Azure data engineering stack - Azure Data Factory, Azure Synapse, Azure Data Lake, Azure Blob, Cosmos DB
Capability in using Databricks, Snowflake and/or Spark
Good experience in a general programming – ideally Python

Working at Ascent

Find out more

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We’re passionate about helping organisations optimise their data science operations and gain actionable insight from their data. Got a challenge in mind?

We’re ready when you are.

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