Technology

Key Responsibilities

• Strategic Leadership: Shape and influence the data management strategy, focusing primarily on data architecture to drive impactful business outcomes.

• Data Product Transformation: Implement best practices from Data Mesh and Data Lake methodologies to convert extensive Databricks tables into reusable data products, ensuring ownership, thorough documentation, and adherence to high-quality standards.

• Value Creation: Prioritise value creation through data assets, with a strong emphasis on user satisfaction.

• Team Leadership: Build and lead a team of data engineers, fostering collaboration with stakeholders from Data Governance, Data Production, and the Platform Team.

Qualifications

• Experience: Minimum of 8 years of professional experience in data analytics, engineering, and/or architecture, with a strong background in data discovery and data engineering.

• Technical Proficiency: Skilled in at least one programming language such as SQL, PySpark, or Scala Spark. Proficiency in AWS Cloud and the Databricks platform is essential.

• Best Practices Knowledge: Familiarity with industry best practices for managing data in large organisations (e.g., DAMA, TOGAF).

• Collaboration Tools: Experience with collaboration tools such as JIRA, Confluence, and GitHub.

• Execution Skills: Demonstrated bias toward action, a self-driven attitude, and strong execution skills.

• Collaboration and Proactivity: Strong collaboration skills and a proactive approach to implementing and continuously improving systems.

What We Offer

• Employment Contract: Secure a contract of employment with a leading industry player.

• Remote Work: Enjoy a hybrid working model with occasional office presence.

• Flexible Hours: Benefit from flexible working times to maintain work-life balance.

• Healthcare: Access private medical care.

• Social Benefits: Enjoy extra social benefits and corporate products and services at discounted prices.

• Learning Opportunities: Access a platform for language learning.

• Parking: Free parking space for employees.

• Global Experience: Opportunity to expand international experience and build global professional relationships.

• Work Environment: Enjoy a comfortable working environment where your commitment is valued and appreciated.

• Level 1 support - receive incidents from multiple communication channels ( ITSM tools  phone calls ) 

• Level 1.5 support - monitor various dashboards of the platform  

• Validate issues using specific tools and raise incidents in the ITSM 

• Alert Incident Management team on duty regarding any P1/P2 Incidents  received from 3rd parties or identified internally 

• Ensure communication with 3rd parties based on specific requirements and protocols ( posting INCs on ITSM tools  on the phone during the night ). 

• Catch and dispatch incidents - initial filter for the quality of incidents received ( mandatory fields are properly filled in ) 

• 4 Month Contract + possible extension to 2025

Key Responsibilities

• Interpret and implement technical regulations and standards pertaining to Masses & Dimensions, Maneuverability, Sound Level, and AVAS for commercial vehicles.

• Work closely with design and engineering teams to ensure products meet all relevant regulations.

• Stay updated on regulatory changes and communicate these updates to relevant stakeholders.

• Manage relationships with Technical Services and Type Approval Authorities, ensuring effective communication and collaboration.

• Organize and oversee all activities required to obtain type approval, including conducting tests and preparing homologation documentation and test reports.

• Coordinate with various departments to ensure a comprehensive understanding of technical regulations across the company.

Qualifications

• Master's degree in Engineering, Science, or a related field.

• At least 5 years of proven experience in commercial vehicle homologation, with a specific focus on regulations regarding Masses & Dimensions, Maneuverability, Sound Level, and AVAS.

• Strong analytical and problem-solving abilities.

• Excellent written and verbal communication skills.

• Ability to work effectively both in a team and independently.

• Fluency in English and German

Key Responsibilities:

• Design, develop, test, and operate our client's next-generation software-as-a-service solutions, with a focus on user interface design and development.

• Collaborate closely with internal and external stakeholders to innovate effective solutions.

• Play a pivotal role in enhancing the effectiveness of our client's Software Team's processes.

What We're Looking For:

• 4+ years of commercial experience in developing complex software solutions, with expertise in Node/TypeScript, Express, Python, SQL, NoSQL, Cloud Infrastructure, or similar technologies.

• Demonstrated track record of delivering high-quality software and solving challenging technical problems.

• Experience in building web-services/microservices and leading technical projects from inception to completion.

• Strong problem-solving skills and excellent interpersonal abilities, with a collaborative mindset.

• Fluency in English

Key Responsibilities 

• Algorithm Design: Collaborate with interdisciplinary teams to understand sustainability challenges and devise efficient algorithms to address them effectively. 

• Environment Setup: Establish and maintain development environments utilizing programming languages such as C++, Java, or Python, along with relevant libraries. 

• Implementation: Code and implement algorithms, adhering to best practices for efficiency, scalability, and sustainability.

•  Optimization: Evaluate algorithm performance and optimize them to meet speed and memory requirements while ensuring sustainability goals are met. 

• Testing and Validation: Conduct thorough testing and validation to ensure the accuracy and reliability of algorithms. 

• Documentation: Document the algorithm design, implementation, and validation processes to facilitate knowledge sharing and future enhancements.

• Research and Innovation: Stay abreast of the latest advancements in algorithm development and explore innovative methodologies to solve sustainability challenges.

Requirements 

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. 

• Solid understanding of data structures and algorithms. 

• Proficiency in programming languages like C++, Java, or Python. 

• Familiarity with relevant libraries and frameworks for algorithm development. 

• Strong problem-solving skills and creative thinking abilities.

• Preferred Qualifications 

• Previous experience in algorithm development or related fields. Knowledge of parallel and distributed algorithms. 

• Understanding of big data processing and optimization techniques in the context of sustainable energy. 

• Familiarity with machine learning algorithms and techniques tailored for sustainable energy applications.

• Languages: Fluency in Spanish & English (Bonus German)

What We're Looking For:

• Proven experience as an SAP CO Consultant, with a strong focus on project execution.

• Demonstrated ability to manage complex projects, ensuring timelines and objectives are met.

• Hands-on experience with S/4 Hana projects.

• Excellent communication skills and the ability to work effectively with multidisciplinary teams.

• Atlease one full life cycle 

• Proficiency in English.

Actively collaborate with business teams and stakeholders to understand their needs and translate them into effective SAP CO solutions.

This role is open to both Permenant and contractual candidates

Key Responsibilities

•  Lead the development and optimisation of data operations for multiple data pipelines, ensuring efficient and reliable delivery of raw data from diverse sources.

• Establish first-level support to monitor and manage the performance of automated data workflows, collaborating with Data Engineers to resolve pipeline-related issues.

• Improve the accessibility and reusability of data by co-developing robust data quality frameworks with Data Engineers.

• Continuously refine operational processes, including the implementation of change management protocols for existing data pipelines.

• Work closely with Data Engineers, Data Governance, Data Producers, and the Platform Team to ensure seamless data operations and integration.

Qualifications

• Experience: A minimum of 6 years of relevant experience in data discovery and data operations, with a thorough understanding of best practices for managing data in large organisations (e.g., DAMA, ITIL).

• Technical Skills: Proficiency in AWS Cloud and the Databricks platform, along with experience using operational tools such as quality frameworks, reporting tools, JIRA, and Confluence.

• Proactive and Action-Oriented: Demonstrated ability to take initiative, with a self-driven attitude and strong execution skills.

• Collaboration: Excellent collaboration skills with a proactive approach to implementing and continuously improving systems.