We believe businesses around the world should have access to open data, helping them to better understand their market and competition - and how it will evolve. Simply put, leverage market Intelligence and gain foresight by answering the questions that give a competitive edge!

Tembi is a European SaaS platform that empowers businesses to make proactive decisions and navigate towards their goals. Our vision is to answer questions in every industry, but we have started with e-commerce and real estate where we collect the right data to forecast & predict answers to questions like this:

• Which company is about to move in within the next 12 months?

• Where can I find my next tenants to fill my office space?

• How many web shops deliver cosmetics in different countries?

• What delivery providers can I use to send small packages?

• What is the average delivery time for all webshops?

• Which web shop offers a green delivery option and the least CO2 footprint?

We are a start-up/scale-up company that has already proven that our platform is attractive on the market. We have in the first 12 months been able to onboard many big clients across the Nordics. And our next step is setting full focus on Europe and the US. Our vision is bold and we are fully committed to reaching it, no matter what.

Tembi is developed by an internal team that poses all the competencies involved in building data-driven SaaS products. We have data engineers, data scientists, data analysts, SW engineers, UI/UX designers, front-end developers and agile coaches. We are committed to our company values to innovate, collaborate, and support each other. We celebrate our wins and take every opportunity there is to improve and learn new things. We believe in agile ways of working and apply a start-up mentality in everything we do.

We're on the hunt for a skilled Senior Data Engineer who's not just versed in the craft of data pipeline creation but is also passionate about building robust, efficient infrastructure on the cloud (specifically Azure). If you’re someone who doesn't just patch up a problem but prefers to look at it holistically, designing resilient and optimized solutions, then our team could be your next playground.

Joining our team means you’ll be at the heart of our data operations. Every project will bear your mark, as you lay down the pipelines that drive our analyses and predictions. In a rapidly evolving field, your commitment to building scalable, adaptable solutions will not just be appreciated—it will be celebrated.

In this role, you're not just building systems; you're crafting the very foundation upon which our data insights stand. Your knack for problem-solving, combined with an intricate understanding of data infrastructure, will make you an indispensable part of our growth journey.

Responsibilities:

• Develop and maintain efficient and scalable data pipelines within cloud environments, primarily Azure.

• Utilize SQL and your expertise in building and optimizing relational databases to ensure data integrity and performance.

• Work with big data technologies like Spark and Databricks to efficiently process and analyze large datasets.

• Create data workflows and orchestration using ETL tooling such as Prefect, ensuring smooth and reliable data movement.

• Write tests and implement quality assurance measures for the implemented solution.

• Develop and manage data storage solutions, with a strong emphasis on Azure Data Lake.

• Implement data retention policies, data archival, and data lifecycle management within Azure Data Lake and its associated services.

• Have experience in building and maintaining APIs based on data warehouses, ensuring authorized and seamless data access for various applications.

• Demonstrate proficiency in FastAPI to develop efficient and robust APIs.

• Utilize Azure DevOps for continuous integration and continuous deployment (CI/CD) of data pipelines.

• Craft and implement production-ready code using programming best practices, ensuring the reliability, scalability, and maintainability of our data infrastructure.

• Collaborate with cross-functional teams to understand data requirements and deliver high-quality solutions that meet business needs.

• Actively contribute to an Agile team, participating in sprint planning, stand-ups, and retrospectives.

• Write, update, and maintain comprehensive documentation for data engineering processes, pipelines, and architectural decisions.

Qualifications:

• Bachelor's or master's degree in Computer Science, Engineering, or a related field (or equivalent experience).

• Familiarity with modern DataOps practices.

• Proven experience in cloud environments, specifically Azure, for data engineering tasks.

• Strong expertise in SQL, building relational databases to ensure data quality and performance.

• Familiarity with NoSQL databases like MongoDB for handling diverse data types.

• Hands-on experience with ETL tooling, preferably Prefect, for automizing, designing, and managing data pipelines.

• Proficiency in programming languages such as Python and Scala for data manipulation and transformation.

• Data architecture skills and the ability to contribute to architectural decisions.

• Experience with data visualization tools like PowerBI or Tableau.

• Previous involvement in building and maintaining APIs based on data warehouses, including proficiency in FastAPI and API Gateways.

• Familiarity with big data technologies such as Spark and Databricks.

• Strong collaboration skills and experience working in Agile teams.

  
  

Nice-to-Have:

• Experience with other cloud platforms like AWS or Google Cloud.

• Familiarity with Elasticsearch

• Familiarity with other databases or data storage solutions.

• Knowledge of containerization and orchestration tools like Docker and Kubernetes.

• Background in machine learning or data science.

• Familiarity with data privacy and security best practices.

• Effective communication skills to work closely with both technical and non-technical stakeholders. (edited) 

  
  

We offer

• A highly entrepreneurial environment with flat hierarchies and short decision paths

• We value personal ownership and responsibility

• Strong focus on professional and personal growth

• A great compensation package with a potential bonus

• Very nice location in Christianshavn, Copenhagen

• We eat family-style lunch together at Kanalhuset

• Coffee, soda, snacks as much as you like

• An office full of talented, mission-driven people

• A social office space with lots of social activities

• A position with direct feedback from customers

• We have a hybrid work model to support flexibility

• Close to the metro to enable easy commute. 45 minutes to Malmö, and 60 minutes to Lund. (Team members doing that today already)

• Diverse team with members from (Denmark, Italy, Sweden, Hungary)

About the recruitment process 

If we have stirred up your interest, please send us an application with a motivation and CV as soon as possible. We will be reviewing applications and conducting interviews on an ongoing basis, so please do not sit on your application too long. Tembi is an equal-opportunity employer. We thrive and develop by diversity, and we are committed to creating an inclusive environment for everyone working with us. 

We are looking for a person to employ for long-term commitment. This is not a consultant opportunity.

For any questions please contact:

Head of Product Joakim Erlandsson