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About the role
You will design and maintain scalable data infrastructure and efficient ETL/ELT pipelines to support analytical and operational intelligence. Additionally, you will collaborate with stakeholders to transform raw data into structured formats while ensuring data quality and performance optimization.
What they look for
Requirements
Candidates must hold a BSc in a relevant field and possess at least 3 years of experience in data engineering or analytics. Proficiency in SQL, programming languages like Python or R, and experience with cloud-based data platforms are essential.
Benefits
Full description
Company Description
KPMG is more than a professional services Firm, collectively employing more than 276,000 people all over the world. It is a family of creative problem solvers who are making a difference! We see a world of opportunities – one where enterprises and individuals have the insights they need to succeed. We Inspire Confidence and Empower Change!
Find Opportunity everywhere with KPMG!
Job Description
We’re seeking a Data Engineer to join our Data Analytics & AI Consulting team and help build the infrastructure that powers analytical and operational intelligence. This role is ideal for someone who thrives on designing scalable data solutions, enjoys working across diverse data sources, and is excited to contribute to the development of a modern, cloud-first data platform. You’ll play a key role in shaping how data flows, transforms, and empowers decision-making across the organization.
As a Data Engineer, you will design and build the data infrastructure that supports our analytics and decision-making processes. Your responsibilities will include:
- Developing and maintaining robust, scalable, and efficient data pipelines across various sources (databases, APIs, flat files).
- Transforming raw data into structured formats for use by analysts, BI tools, and data scientists.
- Designing data models and optimizing performance in data lakes, data warehouses, and cloud environments.
- Ensuring data quality, consistency, and availability through automated monitoring and validation.
- Collaborating with analysts and business stakeholders to understand data needs and deliver fit-for-purpose datasets.
- Applying best practices in data validation, metadata management, and governance.
- Supporting data visualization and reporting efforts using tools like Power BI or Tableau.
- Identifying opportunities to improve data processes, enhance performance, and deliver greater value to stakeholders.
Qualifications
- BSc in Computer Science, Mathematics, Statistics, or a related field
- 3+ years of experience in a data engineering, analytics, or business intelligence role
- Strong experience in building and maintaining ETL/ELT pipelines using tools such as Azure Data Factory, DataStage, Apache Airflow, or similar
- Proficiency in SQL and at least one programming language (e.g., Python or R)
- Hands-on experience with cloud platforms (e.g., Azure, Fabric or Databricks) and modern data warehouse technologies (e.g., Fabric, Synapse, Snowflake, BigQuery)
- Solid understanding of data modeling, data lakes, and warehousing principles
- Familiarity with version control (e.g., Git) and CI/CD pipelines for data workflows is a plus
- Strong problem-solving skills with a focus on performance, reliability, and maintainability
- A proactive mindset and a passion for continuous improvement in data architecture and processes
Additional Information
What We Offer
Throughout your journey within KPMG Greece enjoy the following advantages:
- Engage in ongoing, structured training sessions to enhance your soft and technical business skills, such as professional qualifications.
- Collaborate with a diverse and skilled team of professionals on a wide range of projects for prestigious clients.
- Gain exposure to the KPMG Global Network and the opportunity to work alongside individuals from across the globe.
- Experience flexibility and well-being initiatives, engage in ESG activities, and participate in team-building events.
- Access a competitive compensation and benefits package.
Employee Value Proposition
Your insight can create opportunities for you and contribute to a better future. Do work that matters, supported by a community that values difference and cares about you. Gain learning that will last you a lifetime and be recognized for the impact you make. Find opportunity everywhere with KPMG.
- Do work that matters! Every day, in ways big and small, make a meaningful and positive difference for clients, people and the communities we serve. Help us create opportunity in a world of increasing complexity.
- Come as you are! Your unique experiences and perspectives belong here. Both individually and as a team, you will understand and value the differences that lead to stronger insights and innovation.
- Thrive with us! Build relationships with colleagues who take care of each other. You will have the KPMG community at your side, providing the support you need to be at your best and create opportunities for yourself and others.
- Learn for a lifetime! Grow your own way in an environment where learning is continuous. Feed your curiosity, work with the best on emerging practices and technologies, and gain an advantage for life.
- Make your mark! Your aspirations and initiative make KPMG better. Wherever you work, be recognized for the impact you make, the leadership you show, and the success you create with others.
Want to know what life at KPMG truly feels like? Meet our people, hear their stories, and see how doing work that matters create real impact. Explore our Meet our People section - where our people share their unique stories and insights, creating opportunities for themselves and helping build a better future for all.
Apply now for a career at KPMG in Greece!
In accordance with applicable pay transparency legislation, as part of the recruitment process and prior to the first interview, candidates will be provided with information regarding the initial remuneration to the position, as determined on the basis of objective and gender-neutral criteria.
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