#### **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 65\.000€ total gross package. #### **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.