Senior Data Engineer & Client-Facing Tech Lead

Devoteam; Københavns Kommune; On-site; DKK 550,000 - 750,000; Full time

Job summary

Devoteam is seeking an experienced Data Engineer to lead technical architecture, mentor junior talent, and work directly with clients in Copenhagen. The role focuses on designing modern data solutions and driving business improvements through data-driven insights.

Join a dynamic team of data experts, collaborate with clients and engineers, and contribute to high standards of data engineering while growing your own skills in a supportive environment.

Qualifications

• Solid experience as a Data Engineer.
• Proficiency in Python, SQL, or APIs.
• Experience with Snowflake, Databricks, Fabric, dbt, Azure, AWS or GCP.
• Analytical approach to problem solving with focus on business improvement using data.
• Clear communication and client engagement skills.
• Relevant degree or equivalent qualifications.

Responsibilities

• Technical Design & Development: Designing and developing modern data solutions, ensuring our team implements high standards of data engineering.
• Advisory & Collaboration: Acting as a trusted partner for our clients’ decision makers, ensuring good collaboration with their engineers, analysts, and business users.
• Mentorship & Growth: Elevating our team of less experienced engineers through mentoring and fostering continuous technical improvement.
• You will collaborate with our experienced data engineers while mentoring less experienced consultants.

Skills

Data Engineer

Python

SQL

APIs

Client interaction

Education

Relevant degree

Tools

Snowflake

Databricks

Fabric

dbt

Azure

AWS

GCP

Job description

Devoteam is seeking an experienced Data Engineer to lead technical architecture, mentor junior talent, and work directly with clients in Copenhagen. The role focuses on designing modern data solutions and driving business improvements through data-driven insights.

Join a dynamic team of data experts, collaborate with clients and engineers, and contribute to high standards of data engineering while growing your own skills in a supportive environment.