Hands-on Data Engineer or Architect | Databricks & AWS, Copenhagen

Cph Ai Hub; København; Hybrid; DKK 650,000 - 900,000; Full time

Job summary

Valcon is seeking a Data Engineer to join its Data & AI community and help design, build and operate modern cloud-based data platforms. You will work with Databricks, AWS and other technologies to transform data into insights and business value for Denmark's leading organisations.

The role emphasizes collaboration with clients, architects, data scientists and engineers, leveraging CI/CD, DevOps, and automation to deliver robust data solutions.

Qualifications

• 5+ years building modern data platforms with Databricks and AWS.
• Fluent in Danish and English, both written and spoken.
• Strong data engineering skills: ETL/ELT pipelines and data modelling.
• Experience with CI/CD, DevOps, testing, and automation.
• Experience from regulated industries is an advantage.

Responsibilities

• Design, build, and use scalable cloud-based data platforms.
• Develop robust data pipelines and data models.
• Implement modern AI/BI tooling and analytics capabilities.
• Support clients throughout their transformation journeys.
• Collaborate with architects, data scientists and fellow engineers.

Skills

Databricks

AWS

Python

SQL

CI/CD

DevOps

Data modelling

Tools

Terraform

PySpark

Azure

Job description

Are you passionate about turning data into meaningful business impact? Do you enjoy collaborating with others to solve complex challenges and building modern data platforms that enable better decisions?

At Valcon, we’re growing our Data & AI community and are looking for a Data Engineer who combines technical curiosity with a collaborative mindset. We are particularly interested in professionals with strong Databricks and AWS experience who want to help shape innovative data solutions for some of Denmark’s leading organisations.

The role

As an experienced Data Engineer at Valcon, you’ll work closely with clients, architects, data scientists, and fellow engineers to design, build, and use scalable cloud-based data platforms. You will play a key role in helping organisations transform data into insights, AI solutions, and business value. A significant part of the role will involve working with Databricks and AWS, designing modern data platforms, building robust data pipelines, implementing modern AI/BI tooling, and supporting clients throughout their transformation journeys. Depending on the project, you’ll also work with technologies such as Azure, Python, SQL, Terraform, and PySpark.

What you bring along

• Minimum of 5 years of experience building and using modern data platforms based on Databricks and AWS
• Preferably fluent in Danish and English, both written and spoken
• Strong data engineering skills, including data integration, ETL/ELT pipelines, and data modelling
• Familiar with engineering best practices, CI/CD, DevOps, testing, and automation
• Experience from regulated industries such as Life Sciences, Financial Services, Tax Administration, or Defence is an advantage
• A collaborative mindset with a passion for solving complex challenges and creating impact together with clients and colleagues

Why join Valcon?

At Valcon, you’ll become part of a collaborative and welcoming community where knowledge sharing, continuous learning, and professional development are a natural part of everyday life. We offer exciting projects, a transparent career framework, certification opportunities, and strong support for your professional growth. We also believe that great work happens when people thrive, which is why we place a strong emphasis on flexibility, well-being, and family-friendly benefits. Beyond our client work, our community comes together through both professional and social activities, creating an environment where people can build meaningful relationships and feel a sense of belonging.

Interested?

We are looking for talented professionals who are excited by this opportunity and can contribute to our team. While you may not meet every requirement, you should bring strong relevant experience and a genuine passion for data and technology. We invite candidates ongoing to interviews.