• Designing, building, and maintaining data structures based on the Medallion architecture (Bronze / Silver / Gold).
• Developing and maintaining data ingestion and transformation pipelines (ETL / ELT).
• Using Databricks or equivalent platforms for data ingestion, cleansing, standardization, enrichment, and aggregation.
• Analyzing business requirements and translating them into scalable data solutions.
• Ensuring data cleansing, transformation, validation, and quality across all data pipelines.
• Ensuring the integration of on‑premise and cloud data sources.
• Collaborating with Data Analytics, BI, and Advanced Analytics teams to deliver data ready for forecasting models and predictive analytics.
• Implementing automation of data processing workflows.
• Designing and implementing, in collaboration with the IT Infrastructure team, data replication and exposure flows from on‑premise source systems to SAP BW (on‑prem) and further to the Cloud Datalake, in line with ENGIE policies.
• Managing dependencies between on‑premise and cloud systems to ensure data consistency and continuity.
• Using cloud services (AWS / Azure) for efficient data storage, organization, and management within the Datalake.
• Monitoring data pipeline performance and continuously optimizing processing and storage costs in the cloud environment.
• Implementing logging and monitoring mechanisms for data pipelines.
• Investigating and resolving data incidents.
• Implementing and enforcing Data Governance standards, including metadata management, data ownership, data lineage, and data classification, using ENGIE‑approved tools (e.g. Collibra).
• Collaborating with Security and Compliance teams to ensure adherence to GDPR requirements and internal ENGIE policies.
• Providing technical support and evolutionary maintenance for production data flows.
• Documenting data flows, architectures, and transformation rules in accordance with ENGIE methodologies.
• Ensuring comprehensive technical documentation of data pipelines and architectures.

• University degree in IT or related fields, completed with a Bachelor’s degree (e.g. Automation, Cybernetics, Computer Science, etc.);
• Minimum 3 years of experience in IT / Data;
• At least 1–2 years of hands-on experience as a Data Engineer;
• Experience delivering end‑to‑end solutions, from business requirements through to production;
• Experience working in an enterprise environment (processes, security, governance);
• Hands-on experience in the following areas:
  • Advanced SQL skills;
  • Intermediate Python proficiency;
  • ETL / ELT processes at an intermediate level;
  • Design and maintenance of data architectures (Data Warehouse / Datalake);
  • API integration;
  • Cloud platforms (Azure / AWS) at an intermediate level;
  • Data Governance and Data Quality practices.

• Private health insurance for you and your family;
• Opportunities for ongoing personal and professional development;
• Meal tickets;
• Annual extended holiday entitlement, depending on length of employment;
• Collaborative and innovation-driven work environment;
• Safe workplace equipped with state-of-the-art tools and technologies;
• Direct contribution to the energy transition and sustainability;
• Work-life balance.

Despre ENGIE Romania

Grupul ENGIE este o referință globală în domeniul energiei și al serviciilor cu emisii reduse de carbon. Alături de cei 4.250 de angajați din România, de clienți, parteneri și părți interesate, ne angajăm să accelerăm tranziția către o economie cu impact neutru în ceea ce privește emisiile de carbon, printr-un consum redus de energie și soluții prietenoase cu mediul. Inspirați de ambiția noastră, îmbinăm performanța economică cu producerea unui impact pozitiv asupra oamenilor și planetei, bazându-ne pe activitățile noastre cheie – gaze naturale, energie electrică, servicii tehnice – pentru a oferi soluții competitive clienților noștri.