Data Engineer

About Us

Compensation is more than a paycheck, and traditional approaches don’t adequately reflect it or the way people work today.

We’re on a mission to change that. We see compensation as everything a company gives its people in return for the work they do. It should be easier to understand, offer, manage and spend.

Long-term, we’re working towards becoming the place where compensation happens and is managed by those who award and receive it. We’re on our way to coining the term “Compensation-as-a-service”.

We’re proud to be backed by leading European VC funds, having raised over €5 million in our pre-seed round led by Breega.

Our Stack

• Data Warehousing & Transformation: BigQuery, DBT, Semantic Layer
• Orchestration & Workflow Management: Prefect
• Programming & Analysis: Python, Hex, Lightdash
• Cloud & Infrastructure: Google Cloud Platform (GCP), Terraform
• Version Control & Collaboration: Git
  
  

About You

Coverflex is on a journey through product awesomeness. We truly believe we're developing an amazing product, with extraordinary people excelling themselves every day. We're thrilled to find people with the Coverflex mindset and culture of #challenge and #transparency.

We need help on this path, so we can change compensation for good, forever!

It would be great if you can relate to these requirements:

• Previous experience as a Data Engineer or in a similar role (minimum 3 years)
• Hands-on experience with DBT, SQL, Python, and data orchestration frameworks (Prefect or similar)
• Technical expertise with ETL/ELT processes, data models, data mining, and big data processing
• Experience designing and maintaining data pipelines in cloud environments (ideally GCP)
• Strong skills in relational databases and handling semi-structured/tabular data
• Familiarity with analytics and BI tools (e.g. Lightdash, Hex)
• Great numerical and analytical skills
• Degree in Computer Science, Engineering, IT, or similar field
  
  

The Role

On a typical day, you will..

• Build and maintain scalable data systems and pipelines, contributing to the definition of their architecture
• Transform, evaluate, and organize raw data into clean, structured, and reliable datasets
• Collaborate with Software Engineers, Product Managers, and Analysts to translate business needs into technical requirements
• Combine data from multiple sources to enable analytics, prescriptive and predictive modeling
• Continuously monitor and improve pipeline performance, data quality, and reliability
• Contribute to evolving the semantic layer and self-service analytics for stakeholders
• Identify new opportunities for data acquisition, enrichment, and automation
  
  

The Stages For This Hiring Process Are

• Interview w/Hiring Manager;
• Pair Programming Session/Challenge.
• Interview w/ Head of Engineering;
• Interview w/ People Team;
  
  

Salary range

Our offers are based on the annual salary cost for the company and for this position, we have a budget of 50.000€ to 60.000€.

Translating to everyday language, it would be a total gross package of 38.000€ to 44.000€, and other benefits you can check below.

Equal Opportunity Employer

Coverflex is an equal-opportunity employer. All applicants will be considered and analyzed regardless of ethnicity, religion, gender identity, sexual orientation, national origin, age, or disability status.