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Senior Data Engineer
M3 EU
posted 2mon ago
Job Role Insights
Job Description
- Design, develop, and maintain high-quality, secure data pipelines and processes to manage and transform data efficiently.
- Lead the architecture and implementation of data models, schemas, and integrations that support business intelligence and reporting needs.
- Collaborate with cross-functional teams to understand data requirements and deliver optimal data solutions that align with business goals.
- Maintain and enhance data infrastructure, including data warehouses, lakes, and integration tools.
- Provide guidance on best practices for data management, security, and compliance.
- Support Power BI and other visualization tools, ensuring consistent and reliable access to data insights.
- Oversee the delivery of data initiatives, ensuring they meet project milestones, KPIs, and deadlines.
Essential Job Functions:
- Maintain regular and punctual attendance.
- Work cooperatively and communicate effectively with team members and stakeholders.
- Comply with all company policies and procedures.
Supervisory Responsibility:
- Yes
Outcomes:
- Deliver high-quality, reliable data solutions.
- Provide stakeholders with clear and actionable insights through Power BI reports.
- Ensure data pipelines and ETL processes are optimized and running efficiently.
- Foster strong relationships with stakeholders to ensure their data needs are met.
Competencies:
- Attention to detail.
- Analytical thinking and problem-solving skills.
- Strong communication and interpersonal skills to engage effectively with stakeholders.
- Ability to work in a fast-paced, agile environment.
Knowledge and Skills:
- Proficiency with data engineering tools and technologies (e.g., SQL, Python, ETL tools).
- Strong experience with Power BI for data visualization and reporting.
- Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
- Experience with data modeling, data warehousing, and designing scalable data architectures.
- Strong knowledge of database systems (e.g., SQL Server, Oracle, PostgreSQL).
- Experience working in an Agile development environment.
- Excellent communication skills to work effectively with both technical and non-technical stakeholders.
- Ability to multi-task and manage multiple projects simultaneously.
- Problem-solving mindset with a desire to continuously improve data processes.
Minimum Experience:
- 5+ years of experience in data engineering or related fields.
- 2+ years of experience with Power BI or similar data visualization tools.
Education and Training Required:
- Bachelor s degree in computer science, Data Science, or a related field, or equivalent experience.
Employment Type: Full Time, Permanent
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