Senior Data Analytics Engineer
EXalt
Job Overview
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Job Description
About eXalt Lille
eXalt Lille, a subsidiary of the group specializing in Product & Project Management and our new Tech expertise, is looking for its new Senior Data Analytics Engineer to conquer new technical projects! You will evolve in a challenging multi-company context.
You will be attached to our Lille office.
We are looking for testing talents who love challenges, have a real thirst for learning, are passionate about software craftsmanship, and are ready to collaborate with our clients' various teams!
Your Mission
- Conceive and develop data pipelines and data flows that serve dashboards, AI models, and data analyses.
- Integrate and transform data from different sources.
- Develop and implement advanced data processing algorithms.
- Collaborate closely with client teams to understand their needs and provide adapted solutions.
- Ensure the quality and reliability of developed solutions.
- Advise client teams on solutions to implement.
- Mastery of English is mandatory!
- Experience working with Agile methods.
Technical Environment
The technical scope includes:
- Data-platform: Amazon Web Services, Databricks, Glue, S3, GCP
- Code Programming: SQL, Python, Scala
- Data orchestration: Airflow
- Data modeling: knowledge of dbt
- Software Delivery: Git, Github, CI/CD
Interview Process
The interview process typically involves:
- A first interview with a Digital Sales Manager, Gabrielle or Théo, to get to know each other.
- A second interview with an associate co-founder to delve deeper into mission-related challenges and mastered issues.
- A final interview with a Senior Consultant, to assess your positioning and skills based on the result of your KATA!
We are agile! These interviews can be conducted via video or in person, in this order or another. Come meet us for a coffee at our premises, at 57 rue Nationale, 59800 Lille!
About eXalt
In business, as in music, everything is a matter of tempo. Since 2018, we have brought together passionate, curious, and ambitious consultants, united by a shared conviction: to put their expertise at the service of our clients' digital, sectoral, and industrial challenges.
Our mission? To accelerate transformations by combining operational excellence, curiosity, and audacity. We support major players in luxury, retail, energy, transport, tourism, banking, and insurance – wherever technology meets humanity.
We love tech when it connects and unleashes potential. Our consultants don't just advise: they build, test, deploy, measure, adjust, and iterate. With our clients, we are part of the game, from start to finish.
Our organization is built on a culture of trust, learning, and collaboration. We have designed a unique framework that supports each eXalté·e at every stage of their career, with clear roles, active communities, and rituals that strengthen the collective.
Our quarterly eXaltemps, our eXalt Academy, and our internal projects are all opportunities to learn, share, and grow together.
Currently present in France, Canada, the United States, the United Kingdom, Belgium, Spain, and Portugal, we are driven by strong commitment and contagious energy.
Because learning is our discipline, acting our obsession, and succeeding together our greatest victory.
Pulse. Make. Learn.
Three words that punctuate our daily lives. And perhaps soon yours?
Key skills/competency
- Data Engineering
- Analytics Engineering
- AWS Cloud
- Python Programming
- SQL Development
- Databricks Platform
- Airflow Orchestration
- dbt Data Modeling
- Agile Methodologies
- Client Consulting
How to Get Hired at EXalt
- Research eXalt's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their collaborative consulting approach.
- Tailor your resume: Highlight your data engineering, analytics, and cloud (AWS, GCP) skills, emphasizing projects involving data pipelines, ETL, and advanced data processing relevant to eXalt's client work.
- Master the technical stack: Showcase deep expertise in AWS, Databricks, Airflow, dbt, SQL, Python, and Scala, demonstrating practical experience with these tools for data transformation.
- Prepare for client collaboration: Emphasize your ability to understand client needs, provide tailored data solutions, and communicate complex technical concepts effectively to diverse stakeholders.
- Practice Agile methodologies: Be ready to discuss your experience working in Agile environments, demonstrating how you contribute to iterative development and deliver value in a fast-paced setting.
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