ERP SENIOR DATA ENGINEER (JOI)
Hungary - Budapest /
Information Technology /
IT - Development
Tech People is a European provider of technical skills permanent recruitment and temporary contracting services for multiple industries.
Currently we are looking for a
ERP SENIOR DATA ENGINEER (JOI)
Location: Budapest, full remote
Salary: competitive
Type of work: contractor
Job purpose:
The position holder is responsible for designing, developing, and managing data solutions on the Data Platform.
Is responsible for building robust and scalable data pipelines, managing data storage and processing systems, and
ensuring data quality and integrity.
Job duties and responsibilities:
1 Data Pipeline Development:
- Identify and resolve performance bottlenecks, optimize SQL queries, and fine-tune data processing
- workflows.
2. Data Storage and Management:
- Implement and manage data storage solutions using Microsoft technologies like Azure SQL Database, Azure Data Lake Storage, or SQL Server.
- Ensure data integrity, security, and compliance with data governance policies.
3. Data Modeling and Architecture:
- Responsible for design and implement large data models to support efficient data storage and retrieval.
- Develop database schemas, define relationships, and optimize performance based on the specific requirements of the data solution.
- Provide advice and participate in the architectural decision-making.
4. Data Quality and Governance:
- Guide and implement data quality checks and processes to ensure data accuracy, consistency, and completeness.
- Collaborate with data stewards and business stakeholders to define and enforce data governance policies.
5. Big Data and Analytics:
- Lead the processing and analysis of big data technologies such as Azure HDInsight, Azure Databricks, or Apache Spark..
- Develop scalable and performant data solutions for analytics, reporting, and machine learning purposes.
6. Data Security and Compliance:
- Implement security measures to protect sensitive data and ensure compliance with relevant regulations and standards.
- Define and enforce access controls, data encryption, and data retention policies.
7. Performance Tuning and Optimization:
- Optimize data solutions for performance and scalability.
- Identify and resolve performance bottlenecks, optimize SQL queries, and fine-tune data processing workflows.
8. Collaboration and Documentation:
- Work collaboratively with cross-functional teams, including data scientists, data analysts, and business stakeholders.
- Document data engineering processes, system architecture, and data flow diagrams for knowledge sharing and future reference.
9. Collaboration and Stakeholder Management:
- Collaborate with business stakeholders, data analysts, data architect, data scientists across the organisation to understand their data needs and align data architecture with organizational goals.
- Guide cross-functional teams on data engineering.
- Facilitate communication between technical and non-technical stakeholders to ensure effective data-driven decision-making.
10. Contribute to the building of an effective, high-quality, fit-for-purpose Digital Transformation Department
- Provide guidance and technically supervise the Data Analysts.
- Managing consultants or specific suppliers attracted to deliver on above responsibilities.
- Collaborate effectively with Secretariat’s Divisions’ and DTD colleagues to fulfil key responsibilities and to ensure the successful delivery of key deliverables to ensure the effective delivery of objectives pertaining to the DT strategy, Agenda for Renewal and Strategy2030.
- Ensures effective communication and feedback flows with relevant stakeholders, creating a working environment with stakeholders that creates understanding and acceptance of decisions.
- Consult and advise stakeholders, including regional and divisional staff members; share expertise and knowledge freely as and where required. Provide training, documentation, etc., when required.
- Partner with Enterprise architecture, Service management, company’s Data protection Office and CISO on data foundations (security, technology) and with a view to deliver self-service data analysis and culture of data sharing.
- Consult and advise stakeholders, including regional and divisional leaders; share expertise and knowledge freely as and where required. Provide training, documentation, etc., when required.
- Be a pro-active advisor and dynamic member of the DT department senior team, supporting strategic content areas and/or organizational change.
- Quality standards and operating procedures: Ensure that ITIL and quality standards are applied across all responsibility areas as relevant and perform duties in standard company tools.
- Ensure availability and development of standard operating procedures and/or guidelines and required documentation is delivered and where relevant available into the Service Management Tool.
Requirements:
- Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
- A minimum of five years of progressively responsible postgraduate experience in data management with a focus on Microsoft Dynamics / F&O Suite data model
- Proven track record as a Data Engineer or similar role.
- Experience in Data Lake and Data Lakehouse implementation (e.g., Microsoft data lake, MSQL Server, MySQL).
- Experience in Data Vault implementation
- Proficiency in programming languages such as Python, SQL, or Java. Experience with big data technologies like Apache Hadoop, Spark, or Flink. X
- Experience in data governance, architecture and handling large datasets and data pipelines
- Familiarity with data security, and data privacy regulations (e.g., GDPR, CCPA).
- Excellent problem-solving and analytical skills.
- Effective collaboration and influencing skills
- Strong presentation, written and oral communication skills.
- Excellent interpersonal skills.
- Proven teamwork and trust-building skills, including development of effective and efficient networks and partnerships within and outside of the organisation
- Proactive approach to finding creative and constructive solution
- Proven training, knowledge transfer and supervisory skills as part of the people’s management.
- Fosters a climate of trust and confidence, makes decisions transparently and manages in structured and predictable way and follows through on agreed commitments and actions
- Fluently spoken and written English.
Advantages:
- Experience within the RC RC Movement and/ or international humanitarian or development organisations
- Experience in data products development, business value case development, data product deployment
- Ability to develop strategy, and proven skills in translating strategy in roadmaps, workstreams, setting ambitious and meaningful targets
- Ability to drive results, and create culture that fosters proactive action and accountability, actively prioritize, set high standards.
- Strong knowledge of data modeling techniques, including conceptual, logical, and physical data modeling.
- Proficiency in database design, data warehousing, and data integration concepts.
- Understanding of data analytics and business intelligence concepts and tools.
- Knowledge in Data Mesh, Microsoft Azure Synapse and Azure Data Factory
- Knowledge on applying artificial intelligence techniques, such as machine learning
- Able to network effectively and influence and inspire others within the organisation, and externally peers, membership and other stakeholders.
- Propensity for embracing change and ambiguity: anticipate emerging conditions and demands, embrace widespread organisational change, navigate complex dynamics, view uncertainty and disruption as an opportunity
- Developing others: Push autonomy and empowerment, view people
- development as imperative, create culture of accountability
- Good command of another official language (French, Spanish or Arabic)
To apply for this opportunity, please register your CV, or for more information call +36 30 650 0484 Judit Orosz