Unlock the potential of data engineering in a role that drives innovation and transforms insights into action.

We are seeking a skilled Data Engineer for an onsite position, playing a pivotal role in harnessing cutting-edge Azure technologies. You will work with products such as Azure AI & Machine Learning, Azure Analytics, Azure Data, Azure DevOps, and Azure IaaS to deliver impactful solutions that enhance data processes and support business objectives.

Key responsibilities include:
– Developing robust ETL processes and data pipelines
– Managing and optimizing database systems
– Collaborating with cross-functional teams to implement data-driven strategies
– Utilizing Azure tools to ensure high-quality data management
– Ensuring data security and compliance with industry standards

The ideal candidate will possess:
– Expertise in SQL and NoSQL databases
– Proficiency in Azure products relevant to data engineering
– Strong analytical and problem-solving skills
– Experience with data modeling and warehousing
– An understanding of data governance principles

If you are passionate about data engineering and ready to take on new challenges, we encourage you to apply for this exciting opportunity. Core benefits include a competitive pension plan, retirement savings contributions, and comprehensive medical insurance.

Unlock your potential in a vital Data Engineering role that harnesses the power of cutting-edge Azure technologies. This onsite position offers the opportunity to work with Azure Active Directory, Azure AI & Machine Learning, Azure Analytics, and Azure Data, all while contributing to impactful projects.

Key skills required include:

– Proficiency in Azure services, focusing on data engineering best practices.
– Strong understanding of data architecture, management, and analytics.
– Experience with database systems and data integration tools.
– Ability to collaborate effectively across teams to drive innovative solutions.
– Familiarity with machine learning concepts and applications would be advantageous.

This role is ideal for individuals who thrive in collaborative environments and are eager to make a significant impact through data-driven decision-making.

In addition to a competitive salary, our client offers core benefits including medical insurance, a Pension Retirement Savings Plan/401(K) match, and pension contributions to support your long-term wellbeing.

If you possess the required skills and are ready to take the next step in your career, we encourage you to apply for this exciting opportunity. Your journey towards making a meaningful difference in the world of data starts here.

Lead Data Engineer – Databricks:

Do you want to have an immediate impact on customers and colleagues?

I am now working with an AI first consultancy in Copenhagen who are looking to strengthen their tight-knit team with a new senior specialist

Building comprehensive data platforms that became the backbone of their customers data-driven decision making.

Leveraging modern data platform solutions like Snowflake, BigQuery, and Databricks. Being both key advisors and technical specialists with the aim of offering advanced insights throughout the project lifecycle.

Being in a small team means there is a healthy balance of independent project management as well as highly collaborative, team focuses tasks.

Responsibilities:

Design, build, and optimize data pipelines and lakehouse architectures on Databricks (Delta Lake, Unity Catalog, Workflows).
Lead and manage client projects, ensuring timely and high-quality delivery of data platform solutions.
Collaborate with clients to understand their business needs and translate them into scalable technical solutions.
Write production-grade Spark (PySpark or Spark SQL) for data transformation at scale.
Implement medallion architectures, data quality frameworks, and governance patterns using Unity Catalog.
Integrate Databricks with the broader Azure ecosystem (ADLS, Data Factory, Key Vault, Entra ID).
Develop and maintain data models, pipelines, and orchestration across client environments.
Explore and implement advanced techniques in GenAI and ML using Databricks capabilities (MLflow, Model Serving).
Mentor and guide team members, fostering a culture of continuous learning and improvement.

Requirements:

Extensive hands-on experience with Databricks — including Delta Lake, Unity Catalog, and Databricks Workflows/Jobs.
Strong proficiency in PySpark or Spark SQL, writing clean and testable code at scale.
Solid experience with Azure cloud services (ADLS, ADF, DevOps, Key Vault).
Experience in data warehousing, modeling, and pipeline development.
Proficiency in SQL, Python, and working with APIs.
Knowledge of complementary tools in the modern data stack (e.g. dbt, Snowflake, Power BI) is a strong plus.
Experience with infrastructure-as-code (Terraform or Databricks Asset Bundles) is a plus.
Experience with GenAI/Machine Learning/MLOps is seen as a plus.
Excellent problem-solving abilities and attention to detail.
Strong communication skills in English; Danish is a plus but not required.
Ability to manage multiple projects and deliver results in a consulting environment.
Fluency in Danish

This is a broad requirement and we don’t expect to find someone who ticks every box. If you are an ambitious data professional who wants to have their say on new data-driven decision making designed to support AI then lets talk!

d.nichol@tenthrevolution.com