Azure Data Engineer

Senior Data Engineer - Join a Team Driving Data Innovation

Are you an experienced Data Engineer looking for an opportunity to work on cutting-edge data solutions? We are seeking a skilled professional to join a forward-thinking consultancy, helping businesses unlock the true potential of their data through advanced analytics and automation.

About the Role

As a Senior Data Engineer, you will play a key role in shaping the future of data-driven businesses. This position goes beyond traditional data engineering-it's about working closely with business stakeholders to ensure data delivers real insights and value.

We believe the next generation of Data Engineers will be deeply integrated with business operations, helping organizations not only manage data but also leverage AI, machine learning, and predictive analytics for smarter decision-making.

This is an opportunity to:
✔ Design and implement cutting-edge data solutions.
✔ Work with modern automation tools to streamline data processes.
✔ Collaborate with top industry players, including Microsoft and Databricks.
✔ Be part of a team at the forefront of Data & AI innovation.
✔ Continuously develop your skills through a structured learning framework.

What You'll Be Doing

* Developing robust and scalable data pipelines, ensuring seamless integration between multiple platforms and technologies.
* Implementing best practices in data modeling, leveraging methodologies such as Data Vault and Kimball.
* Optimizing data ingestion, transformation, and storage processes.
* Partnering with analysts and data scientists to build AI and machine learning solutions.
* Driving data maturity within organizations, helping businesses transition to data-driven decision-making.

What We're Looking For

To thrive in this role, you should have:
✔ 3+ years of experience as a Data Engineer.
✔ Strong expertise in Azure (or AWS/GCP) and familiarity with platforms like Fabric/Synapse.
✔ Hands-on experience with ETL/ELT processes, from data ingestion to visualization.
✔ Proficiency in SQL development (T-SQL, Oracle, etc.).
✔ A background in data warehousing and modeling (Data Vault, Kimball).

Bonus Points For

* Experience with data warehouse automation tools like WhereScape or TimeXtender.
* Knowledge of machine learning and AI-driven analytics.
* Familiarity with agile methodologies such as Scrum.

Why Join Us?

* Competitive salary and benefits tailored to your expertise.
* A collaborative and dynamic work environment where you'll make a real impact.
* Opportunities to work on high-profile projects across industries like healthcare, finance, telecom, and retail.
* The chance to shape the future of data engineering and automation.

Our office is based in Stockholm, but much of our work happens on-site with clients-helping them navigate their data transformation journey. If you're passionate about data, automation, and AI, this is the perfect place to take your career to the next level.

Ready to be part of something exciting? Let's connect! 🚀