Open Positions

Senior Azure Data Engineer

Helsinki, Finland • Apply before 31.10.2022

Apply now

Sievo <3 Azure

Are you related to SQL, and does Python Spark your distributed enthusiasm? Does Event Streaming into Deltas and Data Lakes make you go full on Data Ops to build a Lake House with Parquet floor? We need you! Come and shape the future of Procurement Analytics with Sievo – the Procurement Information Hub.

We are Sievo - the Global Leader in Procurement Analytics. We are growing, improving, ambitious, on our way around the world and through the clouds! As a part of our growth, we are looking for a passionate Senior Azure Data Engineer to join our product development team in Helsinki, Finland.

Our product development teams are responsible for designing and creating services that add more value to our customers. You would be part of a fully DevOps capable team composed of software developers, analytics engineers, and a product manager. Together, the team can source the data, uncover hidden treasures from it, cast magic on it, and provide valuable insights to the customers via meaningful charts!

We are currently designing and building a fully cloud native way to do data processing in Azure. That includes tasks like outlier detection, keyword extraction, data classification and much more! The aim is to create scalable multitenant services that can be configurable for the customers.

For this role, we value strong Azure Data Engineering experience and a DataOps mindset. We are looking for an individual who can analyze problems and choose the best way to solve them. In addition to problem-solving, you are expected to build and monitor our data pipelines in the cloud, contributing to our vision to automate the whole lifecycle of customer data pipelines in the product team.

Responsibilities

  • Design how to orchestrate Azure data pipelines
  • Manage pipelines using Infrastructure-as-Code, GIT, CI/CD, and automated testing
  • Implement various data processing services and algorithms
  • Define the optimal schema and data partitioning strategy
  • Proactively suggest and implement improvements to reduce manual work, increase testing, scalability, robustness, and availability of data systems
  • Maintain batch and near real-time data pipelines
  • Improve tooling used by engineers to access, transform, and validate the data
  • Train and support other engineers and teams during the transformation to Azure

Requirements

  • Experience in designing, implementing, and deploying data pipelines in Azure
  • Experience with Spark
  • Experience in SQL and NoSQL
  • Ability to innovate and work in a team with mixed skillset
  • Responsibility and ownership
  • DevOps oriented mindset

Nice-to-haves

  • Background in BI tooling
  • Knowledge around machine learning
  • Knowledge of C# and/or JavaScript programming languages
  • Broader experience with Azure technologies, Functions, Logic Apps, monitoring, security, etc.

We offer you

  • An environment that challenges you to exceed and enables you to learn more
  • A great place to work with a comfortable work environment
  • Freedom and flexibility
  • The possibility of working with an international group of great people with diverse backgrounds
  • Our chill office, situated in the center of Helsinki

We would love to hear from you. Tell us about yourself and how you would bring us to the next level. Apply now by providing your application and CV through our recruitment system as soon as possible, but no later than 31.10.2022. We will start processing the applications as and when we receive them.

More information from Markus Lauttia, VP of Engineering, markus.lauttia@sievo.com.

Apply now

Great place to work

Best colleagues in the world

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Remote work

Extensive healthcare

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