Freelance Solution Engineer

Data Warehouse Maintenance

• Manage and oversee daily activities of the data warehouse, including image creation, ETL/ELT processes, data loads, performance monitoring, and troubleshooting.
• Proactively engage with the needed stakeholders to address security and complaince topics.
• Provide hands-on support and development in managing data pipelines, SQL optimization, and data validation processes.
• Collaborate with data engineering, analytics, BI, and infrastructure teams to ensure seamless data availability and accuracy.
• Proactively monitor and optimize warehouse performance, ensuring uptime, scalability, and cost-efficiency
• Develop and enforce best practices for data quality, governance, backup, and disaster recovery.
• Create and maintain documentation for data workflows, data dictionaries, operational procedures, and technical designs.
• Participate in and lead root cause analysis efforts to identify and resolve data-related issues quickly.
• Evaluate and implement new tools, automation scripts, or practices that improve the reliability and efficiency of warehouse operations.

Project Management

• Lead end-to-end project lifecycle of big data solutions, ensuring timely delivery and alignment with business goals.
• Define project scope, timelines, resources, milestones, and deliverables.
• Coordinate and collaborate with cross-functional teams, vendors, and stakeholders.
• Apply Agile/Scrum or other project management methodologies to drive iterative development and continuous improvement.
• Manage risks, issues, and dependencies across project phases.

Solution Engineering

• Architect and implement big data solutions using platforms such as Hadoop, Spark, Kafka, Hive, and cloud-native technologies (e.g., AWS, Azure, GCP).
• Develop and optimize ETL/ELT pipelines and data integration strategies.
• Design scalable data architectures and storage solutions that support analytics, machine learning, and real-time data processing.
• Ensure data quality, security, and compliance standards are met.
• Conduct code reviews and guide development best practices across teams.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or related field.
• 5+ years of experience in big data engineering or solution architecture.
• 3+ years in a project management or technical leadership role.
• Strong experience with Apache Spark, Kafka, or similar technologies.
• Proficiency with cloud platforms (AWS, Azure) and modern data tools (Syanpse/Fabric, Databricks, Snowflake, etc.).
• Expertise in data modeling, data lakes, and data warehouses.
• Hands-on experience with CI/CD pipelines, Git, Jenkins, or similar DevOps tools.
• Knowledge of programming languages: Python, Scala, Java, or SQL.
• Background in data governance, security, and compliance (e.g., GDPR, DORA…).
• Familiarity with agile methodologies and incident management systems (e.g., Jira, PagerDuty).
• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field (Master’s a plus)

Preferred Skills

• Experience in financial services or telecom domains.
• Familiarity with data governance frameworks and tools (e.g., IDMC/Informatica)
• Strong communication, leadership, and stakeholder management abilities.
• Familiarity with model driven approaches to guide and automate the design, development, and maintenance of software systems (and tools like DBT Cora/Platform)

Contract Details

• 400 euro per day
• Fully remote
• Full time