Senior Data Engineer

About the job

The Data Expert role encompasses a set of specialized profiles responsible for managing processing analyzing and governing data across its full lifecycle. Depending on specialization (Data Engineer Data Scientist Data Assistant or Data Handler) the role contributes to building scalable data infrastructure generating insights ensuring data quality and compliance and enabling efficient and secure data operations.
This role requires close collaboration with cross-functional teams including scientists developers and engineers supporting data-driven decision-making and enabling high-quality data usage aligned with FAIR principles and modern data architectures.

Responsibilities:

1. Data Engineering

• Design develop test and maintain data architectures including databases data platforms and large-scale data processing systems
• Build and optimize data pipelines ETL workflows and automation systems
• Develop and maintain data models and data services to enable efficient data access and processing
• Ensure scalability reliability and performance of data systems

2. Data Science

• Analyze interpret and visualize complex datasets to identify trends patterns and actionable insights
• Develop and deploy predictive models machine learning algorithms and data-driven solutions
• Support business and scientific decision-making through advanced analytics

3. Data Assistance & Stewardship

• Transform data into interoperable formats and enrich it with standardized metadata
• Ensure data quality through validation and collaboration with engineers and scientists
• Publish datasets and metadata in data catalogues
• Implement FAIR (Findable Accessible Interoperable Reusable) data principles
• Prepare and maintain Data Management Plans to support research and experimentation

4. Data Handling

• Manage secure and efficient data transfers across systems locations and environments
• Monitor and maintain data storage systems and data availability
• Implement and manage access control mechanisms (RBAC ABAC)
• Track system performance using KPIs and address data storage access and transfer issues
• Support data operations during experimental campaigns (onshore/offshore) following SOPs

5. Cross-functional Collaboration & Best Practices

• Work in Agile/Scrum environments participating in sprint planning stand-ups and retrospectives
• Collaborate with multidisciplinary teams across engineering science and IT
• Maintain technical documentation processes and knowledge repositories
• Ensure adherence to data security governance and compliance standards
• Promote best practices in data quality lifecycle management and architecture (e.g. Data Mesh)

Requirements:

• Minimum 3 years of relevant professional experience
• Education in a relevant field
• Strong programming experience in Python or similar languages
• Experience with data processing libraries (NumPy Pandas SciPy etc.)
• Hands-on experience with databases (SQL Server PostgreSQL Cassandra Azure Cosmos DB Redis etc.)
• Experience working in Agile/Scrum environments and with collaboration tools (Azure DevOps JIRA GitHub GitLab)
• Understanding of cloud platforms and data infrastructure
• Knowledge of data security and data protection practices
• Experience implementing FAIR data principles and familiarity with Data Mesh architecture
• Strong problem-solving and analytical skills
• Good level of spoken and written English

What we offer:

• Competitive remuneration package
• Referral bonus program
• 25 days annual paid leave
• Additional health insurance (outpatient & hospital medical care dental care coverage of dioptric glasses and more)
• Free Psychological Counselling via Green Line and on the spot
• Newborn or newly adopted child bonus
• Food vouchers - 77 EUR /month
• Upskilling & reskilling training programs and e-learning hub
• Recognition awards
• Sports cards (partially covered by the employer) and company sports initiatives
• Special company discounts
• Various social and charity initiatives