Data Engineer

Find your purpose at KPMG Luxembourg

We see a world of opportunity. From uncovering ways to digitalize, to enabling new sectors to take off, to building sustainability and resilience into economies, we know insights reveal new opportunities for all.
We are diverse and dedicated problem solvers, part of the worldwide network of high-quality audit, tax and advisory services.
We offer excellent career prospects that balance autonomy, flexibility, and responsibility. Our comprehensive benefits inspire our people to do and feel their best.
Right now, we have more than 1800 employees from over 70 nationalities. Join our growing group of young and youthful innovators to uncover a world of opportunity together.

We are seeking for a Data Engineer.

To succeed in this Data Engineer role, you should be a fast learner and critical thinker with a broad view of data. You should be able to breakdown data challenges and combine data from different sources to serve the needs of our clients. If you are detail-oriented, with excellent organizational skills and experience in this field, we'd like to hear from you.

What you will be working on

- Translate business and functional requirements into robust, scalable, operable solutions that work well within the overall data architecture
- Design data integrations and data quality framework
- Analyze and organize raw data, data systems, and pipelines
- Explore ways to enhance data quality and reliability
- Implement data structures using best practices in data modeling, ETL/ELT processes, SQL
- Produce comprehensive, usable dataset documentation and metadata
- Prepare data for analytics and collaborate with data scientists and architects on several projects

What we look for

- Degree in Computer Science, engineering, mathematics or related technical discipline field with at least two years of professional experience; Master of Science is a plus
- Experience with Python and at least one object-oriented language (Java, C , ...)
- Strong understanding of data modeling, experience with relational databases and structured/unstructured datasets; hands-on experience with SQL database design
- Knowledge of data management fundamentals and data storage principles
- Excellent communication skills

- Experience with Snowflake technology
- Understanding of financial data

- Experience with Big Data pipeline technologies, e.g., Spark, Kafka
- Experience with container orchestration, e.g., Kubernetes
- Experience with BI tools, e.g., PowerBI
- Experience with cloud computing platforms, e.g., Azure
- Experience with ETL tools, e.g., SSIS, Talend

What will you get

We offer more than jobs. With our flexible work model, you can enjoy work and rest and recharge. Our competitive compensation packages, paid time away from work, recognition bonuses and dedicated programs for personal development and wellbeing help to keep everyone refreshed and motivated.

By submitting your resume and application information, you authorize KPMG to transmit and store your information in the KPMG recruitment database, and to circulate that information as necessary for the purpose of evaluating your qualifications for this or other job vacancies.
KPMG is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. Our recruiting decisions are based on your experience and skills.