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Senior Data Engineer

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Hybrid

Senior Data Engineer

PPC Romania

Senior Data Engineer

Skills

SQL QueriesData EngineeringDockerPythonJavaKafkaAmazon RedshiftDatabricksGitGitLabData AnalysisMachine LearningScalaAWSdbtKubernetesApache AirflowComplianceRisk Management

15 days ago

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Important information


Contract type:

Permanent

Location:

Bucharest, Romania

Work mode:

Hybrid

Published on:

7 October 2026

What they need


🏫 : PPC Romania 👥 : Digital Solutions 📍 : Bucharest 📝 : Undetermined period #WePowerYourTalent The energy transition happens through people who see their role beyond tasks and understand that what they do has a real impact.

At PPC, we contribute every day to a safer and cleaner energy system, from the networks that connect communities, to renewable energy that transforms the energy mix, or solutions that make electric mobility accessible.

Regardless of the role, our contribution is reflected every day in the communities we serve, in the customers who choose us, and in an energy system that is constantly evolving. We are present across the entire energy value chain and we are looking for motivated people to join us.

If you are curious to understand things in depth, responsible for seeing them through to completion, and open to working in a continuously changing environment, then your place is with us.

What You Will Do In this role, you will have the opportunity to contribute to a purpose greater than daily tasks: making energy safer, more sustainable, and closer to people.

The main goal: to design, develop and optimise the data pipelines and infrastructure that support PPC’s analytics and reporting processes, using advanced AWS / cloud-based solutions. As a senior member of the Data Hub team, you will take technical ownership of key data flows, shape the architecture of our data lake and data warehouse, ensure the performance, quality and security of the data our business teams rely on, and mentor fellow engineers — helping PPC make faster, data-driven decisions across the energy value chain.

We create the context for you to grow, being responsible for:

  • Design, build and maintain robust, scalable data pipelines and architectures supporting BI, analytics and machine learning, using orchestration and ETL frameworks such as Apache Airflow
  • Lead the design and development of cloud-based (AWS) data solutions and contribute to the overall data architecture, including security and governance
  • Integrate and synchronise data from diverse sources — databases, files, APIs, streaming and data replication tools — into the data lake and data warehouse
  • Build high-performance distributed data processing with Apache Spark and Apache Kafka, optimising for performance, scalability and cost
  • Design and optimise data models, complex SQL and storage / ETL processes to ensure data availability, quality and integrity
  • Partner with business stakeholders to translate requirements into scalable solutions, and explain complex technical concepts clearly to non-technical audiences
  • Drive CI/CD in GitLab, containerised deployments (Docker, Kubernetes) and automation of data pipeline processes
  • Own monitoring, performance tuning and incident resolution for the data platform and pipelines
  • Lead code reviews, set engineering best practices and mentor junior and mid-level data engineers
  • Contribute to the technical refinement of backlog items and to shaping the team’s technical direction

Functional Skills We want you to join our journey with: Data Pipeline Engineering

ETL/ELT Pipeline Development

Python / Apache Spark

SQL

Cloud Data Platforms

Data Lake / Data Warehouse / Lakehouse Architecture

Data Orchestration & Extraction Tooling Administration

Data Quality Monitoring & Alerting

Workflow Orchestration

Transferable Skills Systems Thinking

Diagnostic & Problem Framing

Structured Problem-Solving

Analytical & Quantitative Reasoning

Cross-functional Collaboration

Issue Resolution & Judgment

Attention to Detail

Risk Management

Adaptability & Learning Agility

Emerging Skills Modern Data Transformation / ELT Modelling

Advanced Workflow Orchestration

What Will Help You Succeed

  • Minimum 4 years’ experience as a Data Engineer or in a similar role, with a proven track record of delivering large-scale data solutions
  • Advanced SQL, including complex queries, performance tuning and data modelling
  • Strong Python programming for data engineering, including custom data processing solutions and automation
  • In-depth experience with Apache Spark and Apache Kafka for distributed batch and streaming processing
  • Hands-on experience with Apache Airflow for orchestrating data flows
  • Advanced experience with AWS (S3, Redshift, EMR, EKS) or another cloud provider
  • Proficiency with GitLab for version control and CI/CD, and hands-on experience with Docker and Kubernetes
  • Experience with dbt for data transformation and with Shell scripting (Bash)
  • Bachelor’s degree in Computer Science, Engineering or a related STEM field
  • Advanced English

Nice to have

  • Certifications such as AWS Certified Data Engineer – Associate, Databricks Certified Associate Developer for Apache Spark or similar
  • Experience with data integration / replication tools such as Qlik Data Integration
  • Knowledge of another programming language (Java, Scala) or Apache Hive
  • Solid understanding of data governance, security best practices and compliance regulations
  • Familiarity with Machine Learning concepts

Skills That Set You Apart

  • Strong problem-solving skills and the ability to work with large, complex datasets
  • Ability to mentor engineers and provide technical leadership
  • An ownership mindset — able to drive solutions end to end with minimal supervision
  • Flexibility to support problem resolution in case of urgent issues
  • Previous experience in the energy sector is a plus

What We Offer You 🚀 A place where you grow, not just work

  • Clear professional and personal development paths
  • Access to courses, mentoring, and coaching programs
  • Role-relevant certifications
  • Real internal mobility opportunities within the PPC Romania Group

💛 A fair package that reflects your contribution

  • Fixed annual bonus (equivalent of one salary) + performance bonus
  • Meal vouchers worth 45 RON/day and bonuses (Energy Day, Easter, Christmas, etc.)
  • Partial reimbursement of vacation costs (2,400 RON)
  • Additional vacation days + extra days off (birthday, Energy Day)
  • Pillar III pension contribution worth 100 RON
  • Bonus for employee referrals: ranging between 1,800 RON – 7,200 RON gross depending on the role
  • Reimbursement for vision devices up to 700 RON, once every 2 years
  • Voucher for partial compensation of energy consumption

🏥 Real support for your well-being

  • Medical subscription / private insurance
  • Access to Bookster
  • Partner offers

🖥️ Flexibility that respects your rhythm

  • Hybrid schedule (office & smart working)
  • Short Friday

What Else You Should Know Recruitment process confidentiality At PPC, we respect the confidentiality of every application. Only selected candidates will be contacted for an interview, and all other applications will be stored in our database for a maximum of one year.

About PPC We are leaders in energy in South-East Europe, active in electricity production, distribution, and supply, as well as in developing innovative solutions for a sustainable future. With an installed capacity of 12.4 GW, we supply energy to 8.7 million customers and deliver over 35 TWh annually.

In Romania, PPC became a top player following the acquisition of Enel companies in October 2023. With a history starting in 1950, we are listed on the Athens Stock Exchange and continuously expand our vision.

Our commitment to diversity and inclusion We believe energy comes from people. At PPC, every voice matters, and diversity is the engine of our innovation. Regardless of age, ethnicity, gender, or disability, we offer an inclusive environment where you can grow and perform.

🔹 # EnergyForEveryone – for your career, for the future, for all.

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