Sr. Data Engineer (m/f/d)

Join Schwarz Global Services Barcelona – IT Hub of Europe’s Largest Retail Group.
At Schwarz Global Services Barcelona, we provide high value IT services for the entire Schwarz Group, which includes Lidl, Kaufland, Schwarz Produktion, PreZero, Schwarz Digits, STACKIT, and XMCyber.
As part of a top 5 global retail company, we serve 6 billion customers through 13,700 stores in 32 countries, supported by over 575,000 employees.
We are looking for open-minded colleagues with passion for technology, who are willing to find diverse and exciting career opportunities in a dynamic work environment that stands for development and progress.
Elevate your career with us, where development and progress are at the heart of everything we do.

Your Tasks

• Collaborate with other teams and build data services for data ingestion, processing and visualization of data product’s insights.

• Integrate cloud providers and third-party tools to provide teams with a holistic overview of their cloud costs, code quality and software security

• Provide essential services for the platform like billing data ingestion, configuring end-user data configuration and management portals, managing data contracts or defining data pipelines between different services.

• Design, develop and implementation of data integration solutions supporting batch/ETL and API-led integrations that deliver tangible business value.

• Proactively assess the current state of the technology and identify gaps and overlaps. Capture the future state of technology vision in actionable, context-specific roadmaps.

• Develop policies around data quality, data security, data retention, data stewardship, and proactively identify and support project impacts

• Serves as an expert level technical resource across multiple initiatives.

• Work in a team-based environment including a global workforce, vendors, and third-party contractors.

• Translate high-level business requirements into detailed technical specifications.

• Collaborate closely with peers, offering mentorship and fostering a knowledge-sharing environment.

• Continuously evaluate and advocate for advanced tools, technologies, and processes that drive industry best practices.

• Actively participate in our Agile development processes, contributing to team meetings and delivering incremental improvements.

• Collaborate with cross-functional teams to understand data requirements and deliver reliable data solutions.

• Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency.

• Assist in the design and development of APIs for seamless data integration across platforms.

Your Profile

• Bachelor’s degree in computer science, Engineering, or a related field.

• 5+ years of Data engineering experience in designing/ building complex data pipelines supporting data analytics and data warehousing.

• 4+ years working with Data and relevant computation frameworks and system.

• 4+ years using Python programming language.

• 5+ years’ experience in writing SQL and query optimization.

• 3+ years of experience with Cloud Technologies preferably AWS.

• 3+ years of experience working with columnar databases such as AWS Redshift, Snowflake, Databricks, Vertica etc.

• Nice to have: Master’s degree in computer science or engineering.

• Nice to have: Cloud Technologies: Proven experience in a cloud computing environment, preferably GCP, Azure, AWS or similar.

• Nice to have: Python: Practical development and data analysis experience using Python and/or PySpark

• Nice to have: Advanced Data Processing: Knowledge in using data processing technologies such as Apache Spark, Flink or Kafka.

• Nice to have: Workflow Management: Familiarity with orchestration and scheduling tools like Apache Airflow.

• Nice to have: Experience with data reporting and visualization tools (e.g., PowerBI, MicroStrategy, Tableau or similar).

• Nice to have: Experience with Agile data engineering principles and methodologies.

• Nice to have: Exceptional problem-solving skills and willingness to learn new concepts, methods, and technologies.

• Nice to have: Strong understanding of ELT methodologies and tools.

• Nice to have: Experience in data warehousing and familiarity with data warehousing concepts and terminologies.

• Nice to have: Capable of troubleshooting and conducting root cause analysis to address and resolve data issues effectively.

• Nice to have: Analyze and develop physical database designs, data models and metadata

• Nice to have: Communication: Outstanding communication skills, coupled with strong problem-solving, organizational, and analytical abilities.

 

We look forward to receiving your application.

Schwarz Dienstleistung KG · Laura Hernandez Costa · Reference no. 44241 
Stiftsbergstraße 1 · 74172 Neckarsulm, Germany 
www.careers.schwarz