Senior Engineer Data Engineering Lab (m/f) x2

Herzogenaurach | Germany | Information Technology


The purpose of this role is to explore various internal and external data sources, integrate those data sources and prepare data for the consumption in advanced analytics. This will happen in the context of the creation of an integrated analytical data model connecting the dots between data sources like BI, CRM, Social, Clickstream, Campaign Management, etc. The senior data engineer will have e2e ownership from the acquisition of the data through defined interfaces until integrated exposure in the analytical data model.   

Key Accountabilities

Strategic Tasks

  • Specify and implement a data governance concept: setting the rules for data protection, IT security, data access control, data quality control and data lifecycle management
  • Define service models for data governance monitoring and issue resolution
  • Contract internal and external partners for service delivery
  • Show thought leadership in shaping a holistic Big Data Strategy for the adidas Group
  • Define data modelling and documentation guidelines
  • Define development guidelines for database development
  • Specify concepts for automated data delivery (interfaces and processes) into analytical database (involves partnering with internal data owners to specify requirements for input formats, quality gates, etc.)

Data Science Process Support

  • Explore data sources (e.g. Clickstream, Mobile tracking, Social media, etc.) in terms of relevance, data quality, availability, technical accessibility, coverage and completeness
  • Model new data points into analytical data model, document semantics and specify relations to existing data points
  • Specify ETL / ELT processes from data source to final format in analytical database (create specific data marts both for data science access, analytical applications and simplified views for business user access)
  • Specify data quality rules for individual data domains
  • Interact and manage Global IT horizontal organizations and service partners (internal and external) to drive implementation and  testing
  • Plan go live and handover to Service Manager

Day-to-day operations

  • Manage and oversee data governance concept execution: this includes e2e ownership of the relationship to internal and external partners providing monitoring and issue resolution services
  • Act as escalation point for technical issues resolution
  • Investigate and resolve data consistency issues (as reported by monitoring teams), if applicable coordinate with data owners
  • Act as single point of contact for data related inquiries from data scientists
  • Make data available on the fly for adhoc analytics and prototyping (fast track, bypassing modeling and structured implementations)
  • Manage regression testing in the context of new developments and system upgrades

Knowledge, Capabilities and Experience

  • Pro-active (engaging & impact-oriented) mindset, ability to think end-to-end
  • Ability to work in a fast-paced environment with different international cultures
  • Business mindset: very good numerical and analytical skills
  • Good communication (both written and verbal) and facilitation skills (small and large groups), especially when interacting with different levels of business
  • Fluent English (verbal and written),
  • Strong MS-Office skills (Word, Excel, PowerPoint)


  1. A degree in Computer Science, Mathematics, Engineering or other relevant field
  2. Minimum of 5 years of hands-on data engineering experience
  3. Strong expertise in conceptual data modeling
  4. Hands-on know how of data integration tools and methodologies (e.g. Informatica, BO Data Integrator, Tibco, etc.)
  5. Strong expertise in database and Big Data technologies and software (ideally SAP HANA, Hadoop and related query / processing languages like SQL, Hive, Pig, Map Reduce)
  6. Strong knowledge in IT process frameworks (ideally ITIL)
  7. Expertise in data science methodologies, specifically data provisioning to statistical models and operational model management (ideally in R)
  8. Ideally expertise in management of unstructured data
  9. General business understanding
  10. General BI Skills preferred

We're looking forward to receiving your application!

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The Facts

Jobtitle Senior Engineer Data Engineering Lab (m/f) x2
Team Information Technology
Brand adidas Group
Location Herzogenaurach
Country Germany
Number 165269
Position Type Full time
Date Aug-21, 2017
Relocation no

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