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Eraneos Germany
Hamburg, Germany3 months ago
Grade
Senior
Work format
Remote
English level
B2, upper-intermediate
An email or a Telegram message to the recruiter
We are a technical, implementation-oriented spin-off of a global management consulting company. Our clients are primarily DAX and Fortune Global 500 companies, to whom we provide consulting in the areas of Analytics, Big Data, and Machine Learning. Within the group, we develop tailor-made, data-driven solutions to transform our clients into AI-driven companies.
As a Senior Analytics Engineer, you play a central role in the conception and implementation of modern analytics solutions. Together with our clients, you develop scalable data models and analytics architectures that create a robust foundation for reporting, self-service analytics, and data-driven decision-making. You design, develop, and are responsible for analytical data models in modern Data Warehouses and Data Lakehouses, ensuring their quality, performance, and sustainable further development.
You develop robust data transformation processes with dbt and establish best practices for testing, documentation, versioning, and deployment.
You design scalable analytical data models based on established modeling approaches such as Kimball, Snowflake Schema, or Data Vault 2.0, and integrate various data sources into a unified analytics environment.
You establish and are responsible for concepts around Data Quality, Data Testing, Data Lineage, and Data Governance, and support the creation of modern analytics standards.
You optimize data models and query performance on modern cloud data platforms and leverage current Lakehouse technologies as well as table formats like Delta Lake or Apache Iceberg.
You collaborate closely with functional areas, Data Analysts, Data Scientists, and Data Engineers, and transform complex business requirements into sustainable analytical solutions.
You take on technical responsibility for work packages or sub-projects, manage their successful implementation, and support colleagues as an expert sparring partner.
Through your strong customer orientation and communication skills, you advise clients at eye level, moderate workshops, and present technical solutions understandably to various target audiences.
You have many years of practical experience in Analytics Engineering and data modeling on modern cloud data platforms. You can transform functional requirements into sustainable analytical data models and develop solutions with real added value for our clients.
You have in-depth experience with dbt (dbt Core and/or dbt Cloud) and have successfully designed, implemented, and developed Analytics Engineering solutions in several client projects.
You are proficient in Dimensional Data Modelling (Kimball Star Schema, Snowflake Schema) and have extensive experience in designing and implementing modern ELT/transformation architectures.
You have excellent SQL skills and use Python as needed for automation, analysis, or data-driven solutions.
You have practical experience with modern cloud data platforms such as Snowflake, Databricks, BigQuery, or Amazon Redshift, and are familiar with current Lakehouse concepts as well as table formats like Delta Lake or Apache Iceberg.
Topics such as Data Quality, Data Testing, Data Lineage, and Data Governance are self-evident components of professional analytical solutions for you. Ideally, you have already worked with Great Expectations, Data Catalogues, or similar tools.
Knowledge of Data Vault 2.0, as well as experience with Semantic Layers or modern BI architectures, is a plus.
You take responsibility for technical project decisions, advise clients at eye level, and support colleagues as an expert sparring partner and mentor.
You communicate complex technical interrelationships clearly and appropriately — both in German (minimum C1) and English.
Periodic business trips to our clients are a matter of course for you.
We offer an international working environment with agile teams and creative startup methods, as well as above-average compensation and numerous additional benefits. With our headquarters in Hamburg, further offices in Munich and Düsseldorf, as well as our hub locations in all other major German cities (Cologne, Berlin, Frankfurt, and Stuttgart), we ensure that all colleagues across Germany are integrated into our expert team.
Shape the future with AI — in diverse projects at the interface of strategy, technology, and business.
Flexible work that fits your life — with mobile work models, flexible working hours, and the possibility of remote work.
An open "you" culture, flat hierarchies, and a collegial, international environment where knowledge exchange and collaboration are welcomed.
"Great Place to Grow": Individual career paths, personalized training offers, and targeted development of your professional and personal skills.
A strong international network of over 1300 colleagues, as well as regular inter-regional and international events.
Work-life balance with flexible working models and – depending on the situation – the possibility of taking a sabbatical.
Company Bike, as well as a contribution to EGYM Wellpass for your health and fitness.
Modern offices in central locations in Hamburg, Munich, and Düsseldorf, as well as flexible hub locations in many major German cities.
Free drinks, fresh fruit, snacks, as well as good coffee — and of course, a shared beer after work if you fancy it.
A culture based on trust, personal responsibility, and individual development, where your ideas are heard — regardless of role or hierarchy.
We are a technical, implementation-oriented spin-off of a global management consulting company. Our clients are primarily DAX and Fortune Global 500 companies, to whom we provide consulting in the areas of Analytics, Big Data, and Machine Learning. Within the group, we develop tailor-made, data-driven solutions to transform our clients into AI-driven companies. We offer an international working environment with agile teams and creative startup methods, as well as above-average compensation and numerous additional benefits. With our headquarters in Hamburg, further offices in Munich and Düsseldorf, as well as our hub locations in all other major German cities (Cologne, Berlin, Frankfurt, and Stuttgart), we ensure that all colleagues across Germany are integrated into our expert team.
As a Senior Analytics Engineer, you play a central role in the conception and implementation of modern analytics solutions. Together with our clients, you develop scalable data models and analytics architectures that create a robust foundation for reporting, self-service analytics, and data-driven decision-making. You design, develop, and are responsible for analytical data models in modern Data Warehouses and Data Lakehouses, ensuring their quality, performance, and sustainable further development.
You develop robust data transformation processes with dbt and establish best practices for testing, documentation, versioning, and deployment.
You design scalable analytical data models based on established modeling approaches such as Kimball, Snowflake Schema, or Data Vault 2.0, and integrate various data sources into a unified analytics environment.
You establish and are responsible for concepts around Data Quality, Data Testing, Data Lineage, and Data Governance, and support the creation of modern analytics standards.
You optimize data models and query performance on modern cloud data platforms and leverage current Lakehouse technologies as well as table formats like Delta Lake or Apache Iceberg.
You collaborate closely with functional areas, Data Analysts, Data Scientists, and Data Engineers, and transform complex business requirements into sustainable analytical solutions.
You take on technical responsibility for work packages or sub-projects, manage their successful implementation, and support colleagues as an expert sparring partner.
Through your strong customer orientation and communication skills, you advise clients at eye level, moderate workshops, and present technical solutions understandably to various target audiences.
You have many years of practical experience in Analytics Engineering and data modeling on modern cloud data platforms. You can transform functional requirements into sustainable analytical data models and develop solutions with real added value for our clients.
You have in-depth experience with dbt (dbt Core and/or dbt Cloud) and have successfully designed, implemented, and developed Analytics Engineering solutions in several client projects.
You are proficient in Dimensional Data Modelling (Kimball Star Schema, Snowflake Schema) and have extensive experience in designing and implementing modern ELT/transformation architectures.
You have excellent SQL skills and use Python as needed for automation, analysis, or data-driven solutions.
You have practical experience with modern cloud data platforms such as Snowflake, Databricks, BigQuery, or Amazon Redshift, and are familiar with current Lakehouse concepts as well as table formats like Delta Lake or Apache Iceberg.
Topics such as Data Quality, Data Testing, Data Lineage, and Data Governance are self-evident components of professional analytical solutions for you. Ideally, you have already worked with Great Expectations, Data Catalogues, or similar tools.
Knowledge of Data Vault 2.0, as well as experience with Semantic Layers or modern BI architectures, is a plus.
You take responsibility for technical project decisions, advise clients at eye level, and support colleagues as an expert sparring partner and mentor.
You communicate complex technical interrelationships clearly and appropriately — both in German (minimum C1) and English.
Periodic business trips to our clients are a matter of course for you.
Shape the future with AI — in diverse projects at the interface of strategy, technology, and business.
Flexible work that fits your life — with mobile work models, flexible working hours, and the possibility of remote work.
An open "you" culture, flat hierarchies, and a collegial, international environment where knowledge exchange and collaboration are welcomed.
"Great Place to Grow": Individual career paths, personalized training offers, and targeted development of your professional and personal skills.
A strong international network of over 1300 colleagues, as well as regular inter-regional and international events.
Work-life balance with flexible working models and – depending on the situation – the possibility of taking a sabbatical.
Company Bike, as well as a contribution to EGYM Wellpass for your health and fitness.
Modern offices in central locations in Hamburg, Munich, and Düsseldorf, as well as flexible hub locations in many major German cities.
Free drinks, fresh fruit, snacks, as well as good coffee — and of course, a shared beer after work if you fancy it.
A culture based on trust, personal responsibility, and individual development, where your ideas are heard — regardless of role or hierarchy.
Paulina Krzeminski Lead Group Recruiting Consultant - Data & AI E: M:
Our top priority is that you fit us, and we fit you, regardless of origin, nationality, sexual orientation, religion, gender identity, age, disability, or any other aspect of diversity.
We look forward to receiving your application via our corporate portal with your CV and/or your current LinkedIn profile.
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