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Senior Data Engineer

Deloitte -
Zaventem

Soumettre votre candidature

Détails de l'emploi

Temps partiel | Temps plein

Qualifications

Français
Informatique
Azure
Informatique
Anglais
Java
Master
SQL
AWS
Bachelier
Scala
Intelligence artificielle
Python

Description complète du poste

General Information

Company

Deloitte

Business Unit

Technology & Transformation

Primary Location

Zaventem

Field of interest

Technology

Industry Focus

Industry Agnostic

Recruiter

Fang, Ning - [email protected]

Description of the position

Can’t wait to make an impact on the world?

You’re not alone. We strongly believe that data and the intelligent use of it hold a lot of potential for making an impact that matters to our clients, our people and society.

Join us in making this impact!

Your journey with us

The life of a Senior Data Engineer is very diverse. From implementing, code reviewing, and debugging data pipelines to leading large teams in complex data migrations for our clients.

Your role and tasks can switch frequently depending on the project at hand, meaning that one day you might be building a data warehouse and the next you are assisting our cloud team with providing the right information for the ideal setup for a large data platform.

You will be the key link between Deloitte leadership, Client leadership, your own technical team and both the technical & business teams at the client.

Internally you will leverage your knowledge & experience to bring your fellow data engineers to the next level, while also build PoC’s accelerators that will help our clients in getting the most out of their data.

Key Responsibilities:

As a lead specialist you will actively share your data engineering expertise with the junior members of the team (Business analysts, consultants) in a coaching role.
Working within client project teams in a hands-on way to deliver data engineering solutions that address their complex needs.
You provide various types of data engineering services to clients, continuously evolving by learning new tools, methodologies, and diversifying your expertise.
You keep a strong focus on best practices to enhance the impact of our solutions on client outcomes.
You deliver exceptional client service, focusing on problem-solving, developing others, and building strong relationships.
From a technology stack perspective, your main focus will be on Azure . But experience in other technologies such as AWS, Snowflake and Google are equally appreciated.
You proactively broaden and deepen relationships with senior-level clients, identifying additional opportunities for collaboration.

Let's talk about you:

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
5+ years of experience in data engineering, with a proven track record of delivering large-scale data solutions.
Proficiency in cloud platforms, preferably on the Azure technology stack.
Proven experience with data modelling techniques such Kimball & Data vault.
Expertise skill in SQL (any variant) is a must.
Strong familiarity with other standard practices languages (such as Python, Java, or Scala)
Knowledge of data governance frameworks and best practices.
Strong leadership, problem-solving, and client relationship management skills, you are energized by sharing your knowledge with other (junior) team members.
You are fluent in English and French and/or Dutch

Our story

Technology does not stand still. It takes innovative approaches to transform, modernize, and run existing technology platforms. The key is knowing when to take advantage of the new technologies to drive product and service enhancements, improve financial performance, and accelerate speed to market.

When you harness the power of analytics, automation, and artificial intelligence (AI), you can uncover hidden relationships from vast amounts of data. Implementing the right strategy and technology will balance speed, cost, and quality to deliver measurable business value.

Who is Deloitte?
We provide industry-leading audit and assurance, tax and legal, consulting and related services. We are committed to driving innovation across offerings to help our clients address their challenges, while giving our professionals opportunities to learn and grow in this era of transformation.
In Belgium, +5000 dedicated professionals active in +10 offices, take great pride in bringing multidisciplinary expertise to a wide variety of clients, from national and international companies, small, fast-growing and large organizations to public institutions and governmental authorities.
Why Deloitte?
Be the true you! We foster diversity and inclusion and encourage you to bring your authentic self to work. Explore, question and collaborate while building a career that inspires and energises you.
Never stop growing! Diversity of thought makes us stronger. At Deloitte, we tailor a personalized learning experience, offering you the opportunity to grow at your own pace and achieve maximum impact.
We practice what we preach! As a Purpose-led organisation, at the heart of everything we do is a set of timeless principles and unifying values.
Life looks different for each of us, so we created a varied benefits package that you can tap into:

My Benefits My Choice, a flexible rewards plan tailored to your lifestyle and priorities
Sustainable transport options offered by Mobility@Deloitte
Flexible work arrangements for all and initiatives supported by Parents & Caregivers @Deloitte
Wellbeing tips and activities powered by Energise@Deloitte
Topped off with other health benefits and insurance opportunities

Empowering our employees with flexible work arrangements remains essential in today's reality:

Hybrid workplace: combination of home office and on-site (+10 offices in Belgium or client's premises).
Part-time employment: all our jobs are open to full-time or part-time work under a 90% or 80% regime.

Join us to make an impact together! Apply now!

Soumettre votre candidature

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data engineer emplois - lasne, wal

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : data engineer (lasne, wal)

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