Data Engineer at TimeLog AS
2000 Frederiksberg, Region Hovedstaden, Denmark -
Full Time


Start Date

Immediate

Expiry Date

05 Jul, 25

Salary

0.0

Posted On

06 Apr, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Sql Server, Data Streaming, Data Science, Working Experience, Change Data Capture, Analytics, Cdc, Database Systems, Kafka, Stream Processing

Industry

Information Technology/IT

Description

TimeLog is a leading Professional Services Automation (PSA) software, dedicated to helping professional service organizations streamline business processes and boost productivity. TimeLog fills the GAP between Project Managers and the Finance Department in the consulting business, empowering Project Managers to manage project financials in a way compliant with the requirements set by finance.
We are currently looking for a skilled Data Engineer who is passionate about building and operating a robust data platform that enables powerful analytics, reporting, and insights across our product and organization.
About the position:
As our new Data Engineer, you will serve as the primary technical driver for our data platform, which sits at the heart of all TimeLog data processing, reporting, and analytics – both internal and customer-facing.
You will manage and evolve the entire data pipeline and ensure that our platform is performant, reliable, cost-efficient, and secure. This role combines hands-on responsibility for production data infrastructure with the opportunity to influence architectural decisions and data strategy in collaboration with our Senior Software Architect.
You will report to the Chief Product and Technology Officer and work closely with colleagues across software development, product, and infrastructure.
In this role, your responsibilities are:

EXPERIENCE & TECHNICAL SKILLS

  • Strong hands-on experience with Databricks
  • Proficiency in Change Data Capture (CDC) methodologies
  • Good knowledge of relational database systems, specifically SQL Server
  • Experience with Delta Live Tables and stream processing
  • Working experience with Kafka and Debezium for data streaming
  • Understanding of data security principles and DataOps practices
  • Bonus: Some experience in data science or analytics tooling
Responsibilities

Please refer the Job description for details

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