Analytics Engineer (f/m/d) at Finanzcheck in Berlin, Germany, joining the Data Platform team that builds data infrastructure, modeling frameworks, and analytical services across the organization. You will design and maintain reliable data pipelines and transformation models using dbt and Dagster, collaborate with business stakeholders to translate requirements into data solutions, and contribute to centralized reporting models built on Data Vault principles. You will design and deliver high-quality reports and analyses in Tableau or Hex to drive key business decisions, and ensure data reliability, performance, and quality across transformation layers through testing and documentation. You will participate in setting technical best practices, goals, timelines, and the evolution of our modern stack. Our tech stack includes AWS (S3, Redshift, Aurora, Glue, DMS, EC2, ECS, Fargate, Lambda), Python, dbt, Dagster, data ingestion tools (SNS, SQS, Segment, Kinesis), Terraform, Docker, Github, Tableau, and Hex. The ideal candidate has at least 2 years of experience in analytics engineering or related roles, strong SQL, hands-on experience with dbt and modular modeling, and familiarity with BI tools. Excellent communication skills to work with stakeholders and translate analytical needs into technical solutions are essential. Nice-to-haves include experience with Redshift, Data Vault, Dagster or Airflow, modern data architectures (data lakes/lakehouses), and FinTech experience. We welcome mid-level and senior profiles who fit the essential criteria and encourage you to apply even if n

Analytics Engineer (f/m/d) at Finanzcheck in Berlin, Germany, joining the Data Platform team that builds data infrastructure, modeling frameworks, and analytical services across the organization. You will design and maintain reliable data pipelines and transformation models using dbt and Dagster, collaborate with business stakeholders to translate requirements into data solutions, and contribute to centralized reporting models built on Data Vault principles. You will design and deliver high-quality reports and analyses in Tableau or Hex to drive key business decisions, and ensure data reliability, performance, and quality across transformation layers through testing and documentation. You will participate in setting technical best practices, goals, timelines, and the evolution of our modern stack. Our tech stack includes AWS (S3, Redshift, Aurora, Glue, DMS, EC2, ECS, Fargate, Lambda), Python, dbt, Dagster, data ingestion tools (SNS, SQS, Segment, Kinesis), Terraform, Docker, Github, Tableau, and Hex. The ideal candidate has at least 2 years of experience in analytics engineering or related roles, strong SQL, hands-on experience with dbt and modular modeling, and familiarity with BI tools. Excellent communication skills to work with stakeholders and translate analytical needs into technical solutions are essential. Nice-to-haves include experience with Redshift, Data Vault, Dagster or Airflow, modern data architectures (data lakes/lakehouses), and FinTech experience. We welcome mid-level and senior profiles who fit the essential criteria and encourage you to apply even if n