Junior Data Engineer

Help leading organizations use data and insights to solve their biggest problems and deliver positive impact with modern data engineering technology at Deloitte.

Be the true you

Help leading organizations use data and insights to solve their biggest problems and deliver positive impact with modern data engineering technology at Deloitte.

Benefits

• You will receive a profit-sharing bonus on top of your fixed salary.
• Continue professional growth by joining our development program.
• A work-from-home office setup allowance to make sure you have everything you need for an ergonomically designed workstation, plus an internet allowance.

What's in it for you?

• In addition to a competitive salary, a share in our profits.
• An overtime arrangement that allows you to receive compensation for overtime.
• Great growth opportunities, depending on your ambitions and performance.
• Flexible working hours and the opportunity to work from home.
• 26 days of paid holiday annually, and the opportunity to purchase 15 additional holiday days annually.
• The opportunity to take a month of unpaid leave once annually.
• The possibility to go on sabbatical for at least 2 months.
• A good mobility scheme: choice between a company car with a fuel pass for Europe, the Mobility+ option, a gross cash option with which you arrange all your own transport, or a public transport annual subscription.
• An iPhone, which is also for personal use.
• A laptop with a 4G connection.
• A good pension scheme.
• An opportunity to take part in our collective health insurance scheme.
• An opportunity to benefit from tax-efficient facilities, such as company fitness and a bicycle scheme.

Be the true you

• A technical Master’s degree in a related field (Data Science, Data Engineering, Artificial Intelligence, Computer Science, Software Engineering, Statistics), or a Bachelor’s degree with at least two years' work experience.
• Basic knowledge of, or experience with, designing and implementing data pipelines using modern data engineering technologies and frameworks such as Apache Spark, Apache Airflow, Iceberg, Delta Lake, Hudi.
• Knowledge of at least one programming language such as Python or SQL (experience with PySpark is an advantage).
• Familiarity with public cloud platforms such as AWS, Azure, and Google Cloud Platform (GCP).
• Strong analytical and problem-solving skills.
• An excellent command of English and Dutch, both written and spoken.

What impact will you make?

Do you want to help shape and accelerate the future of our clients? Join the Platform Development & Integration team within Deloitte Engineering. You will work on a wide range of projects to turn data into actionable insights, modernize data and cloud infrastructures, and help organisations become data-driven. With your commitment and eagerness to learn, you will help ensure projects are delivered on time and to a high standard.

How do you do this?

You will be part of the Deloitte Engineering team and work in multidisciplinary projects for a range of clients. Some of your responsibilities will include:

• Analyzing client needs and helping to translate them into technical solutions using modern data engineering technologies including Apache Spark, Delta Lake, Hudi, PySpark, Spark SQL.
• Designing, developing, and maintaining scalable data-driven solutions.
• Building robust ETL and ELT data pipelines on public cloud and data platforms (AWS, Azure, GCP, Databricks, Snowflake, etc.).
• Collaborating with senior engineers to design and improve data pipelines, architectures, and modeling for our clients.
• Participating in team activities and training sessions to build your skills and support the development of our data engineering capability.