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Junior Data Engineer

Deloitte General Services deloitte.lu Open · verified Oct 24, 2026
Luxembourg, LU Junior Data Engineering

At a glance

Junior Data Engineering role at Deloitte General Services. Luxembourg, LU.

Pay not stated Data Engineer salary

RoleData Engineering
SeniorityJunior
LocationLuxembourg, LU
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Keep client data platforms and solutions running alongside data management, engineering, science and analytics teams
  • Help design, test, deploy and connect data and AI solutions within technical, business and time constraints
  • Support client environments by maintaining stability, availability and performance across data technologies
  • Collect raw data and turn it into visualizations and dashboards
  • Translate business needs into technical outputs and communicate solutions through clear deliverables

What you bring

  • A master's degree in business intelligence, analytics, statistics or another listed field
  • Strong English and French, with clear written and spoken communication
  • You can bridge IT and business teams and contribute to functional analysis
  • A solid grounding in data, backed by at least one substantial experience in a data area

Who this fits

This junior role suits someone who wants hands-on work across client data platforms and AI solutions, and is comfortable collaborating across technical and business teams. The position is full time and on site in Luxembourg.

From the employer

On site

Full time



Your future team


Join our Artificial Intelligence and Data (AI&D) team which is responsible for transforming data into actionable insights for our clients. We offer a full suite of services that focus on applying our experience across the entire data and artificial intelligence value chain. Thus, we provide major financial institutions, large public entities and global organizations with customized data solutions and strategic advice covering technical, process and organizational aspects.
As Technical Analyst, you will work closely with our clients to help solve their most critical data challenges. We are looking for someone eager to apply edge technologies in an innovative way to fill the latest gaps in the market.


Your advantages of joining us

  • Career growth, your way
    Access top-notch training and career development, with a clear progression path to help you level up at your own pace.
  • Global impact, local connections
    Work on international projects and collaborate with diverse teams, all while making an impact locally.
  • Innovative work that matters
    Tackle cutting-edge projects and utilize the latest tech, with all the tools you need to stay ahead.
  • Inclusive, flexible culture
    Embrace a culture where your voice matters, with flexible hours to balance work and life seamlessly.
  • Purpose-driven work
    Get involved in sustainability initiatives and community service, making a real difference while growing your career.

How you'll contribute to our success

  • Work with data management, data engineering, data science and data analytics to ensure smooth operation of clients’ data platforms and solutions.
  • Participate in the design, testing, implementation and integration of data and AI solutions under various technical, business and time constraints.
  • Ensure stability, availability and performance of client environments across a range of data technologies; gather raw data and build visualizations and dashboards.
  • Define and create high‑quality deliverables that communicate technical solutions clearly, collaborating with cross‑functional teams to translate business requirements into technical outputs.
  • Stay curious and continuously research and explore new data technologies, thriving in a dynamic culture of inclusion, collaboration and high performance with real impact.


Your skills

Must have

  • Master’s degree (Bac+4/5) in Business Intelligence, Analytics, Statistics, Econometrics, Mathematics or Computer Science.
  • Proactive, dynamic, detail‑oriented and client‑oriented attitude.
  • Ability to act as a liaison between IT and business units and support functional analysis.
  • Strong verbal and written communication skills and fluency in English and French.
  • Good understanding of data topics, with at least one significant experience in one of the following:

Nice to have

  • First experience in Financial Services or domain knowledge in another key industry applying data analytics; consulting experience.
  • Knowledge, experience or certifications in AWS, Azure, Google Cloud, Databricks or Cloudera.
  • Fluency in German and/or Luxembourgish.

Interested? Please submit your resume in English

Get to know more about Deloitte on our LinkedIn page (#DeloitteLU), Instagram page, YouTube page or website.

With more than 2,600 employees and 98 nationalities, Deloitte Luxembourg is one of the Grand Duchy's largest, strongest and oldest professional services firms. For more than 75 years, our talented teams have been serving clients in various industries delivering high added-value offerings to national and international clients in audit and assurance, consulting, financial advisory, risk advisory, tax, and related services. Deloitte Luxembourg is part of the global Deloitte network.

Deloitte provides leading professional services to nearly 90% of the Fortune Global 500® and thousands of private companies. Our people deliver measurable and lasting results that help reinforce public trust in capital markets and enable clients to transform and thrive. Building on its 180+-year history, Deloitte spans more than 150 countries and territories. Learn how Deloitte’s over 470,000 people worldwide work together every day to make an impact that matters at www.deloitte.com.

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Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.