Analytics Engineer responsible for building Data - Warehouse and optimizing processes for an e - commerce startup. Collaborating closely with management and driving data - driven decisions in Hamburg.
About the role
- Lead Analytics Developer responsible for enterprise BI and analytics solutions in defense and health sectors. Design, implement, and optimize analytics architectures and ETL pipelines.
Responsibilities
- Lead the design and implementation of scalable, enterprise-grade BI and analytics architectures across multiple platforms (e.g., Looker/Looker Studio, Power BI, Tableau, Qlik, or similar).
- Architect and develop robust semantic/data models to support complex KPIs, large datasets, and cross-functional reporting needs.
- Design, develop, test, deploy, and maintain advanced dashboards, applications, and reporting solutions using modern BI tools.
- Develop and maintain scalable ETL/ELT pipelines using SQL, platform-native tools (e.g., BigQuery, Dataform, Power Query), APIs, and/or integration frameworks to ingest data from diverse sources (cloud platforms, Oracle, SQL Server, APIs, flat files, legacy systems).
- Implement performance optimization strategies including query tuning, incremental loads, partitioning, materialized views, and data extract optimization.
- Administer enterprise BI environments, including workspace management, deployment pipelines, user/role management, row-level security, job scheduling, monitoring, and performance troubleshooting.
- Design and manage automated and subscription-based reporting solutions, enabling secure and scalable report distribution.
- Establish and enforce data governance standards, including data validation, metadata management, lineage tracking, auditability, and compliance with organizational and regulatory requirements.
- Develop and maintain technical documentation, architecture diagrams, data dictionaries, and operational runbooks.
- Provide technical leadership and mentorship to junior developers and analysts; conduct code reviews and enforce best practices.
- Collaborate with stakeholders to translate business requirements into scalable, secure analytics solutions.
- Support lifecycle management of analytics systems, including enhancements, modernization initiatives, and cloud migration efforts.
- Ensure BI solutions meet enterprise security standards, including access controls and compliance frameworks (e.g., DoD or other regulated environments as applicable).
Requirements
- 7–11 years of progressive experience in BI, analytics development, data engineering, or database development.
- Advanced experience with at least two enterprise BI platforms such as:
- Google ecosystem (Looker, Looker Studio, BigQuery)
- Microsoft Power BI
- Tableau
- Qlik Sense/QlikView
- Strong expertise in SQL and data modeling (star/snowflake schemas, dimensional modeling, semantic layer design).
- Experience designing and maintaining ETL/ELT pipelines using cloud-native or enterprise data platforms.
- Experience administering enterprise BI environments, including security models (row-level security, role-based access control), deployment pipelines, and performance monitoring.
- Understanding of cloud data warehouse architectures (e.g., BigQuery, Snowflake, Azure Synapse, Redshift).
- Experience with Agile/Scrum or hybrid development methodologies.
- Experience in regulated or enterprise environments with formal QA, IA, and configuration management processes.
- Strong proficiency in programming languages such as Python, R, or Java for data manipulation and analysis.
- Experience in building and deploying machine learning models and algorithms.
- Familiarity with statistical analysis techniques and methodologies.
- Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
- Strong problem-solving abilities and experience with agile methodologies in a collaborative environment.
- Bachelor’s degree in Information Technology, Computer Science, Data Analytics, Engineering, or related field.
- Must hold a Secret clearance
- BI platform certifications (e.g., Looker, Power BI, Tableau, Qlik) and Cloud certifications (e.g., Google Cloud, Azure, AWS) are strongly preferred
Benefits
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Short Term & Long Term Disability
- Training & Development
- Free Food & Snacks
- Wellness Resources
Job title
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Degree requirement
Tech skills
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