cover image
ALTEN Belgium

Data Analyst

On site

Brussels, Belgium

Full Time

11-04-2025

Share this job:

Score my CV

Job Specifications

Job Opening: Data Scientist / Analyst – Dataiku Platform
Location: Brussels
Seniority: 3–5 years of experience

About ALTEN Belgium
ALTEN Belgium is a leading technology consulting and engineering company, specializing in Engineering, Life Sciences, and IT services. With a strong presence across various sectors, including automotive, pharmaceuticals, and finance, ALTEN Belgium leverages its expertise to deliver innovative solutions to clients throughout the country. As part of the global ALTEN Group, the company combines local knowledge with international experience to drive technological advancement and support clients in achieving their goals.

About the Role
At our clients company, data is at the heart of our transformation. Our Enterprise Data & Analytics function is evolving into a Center of Expertise (CoE), delivering advanced analytics, automation, and machine learning solutions.

We are seeking a Data Scientist / Analyst with robust technical skills to engineer, optimize, and promote our Dataiku (DSS) platform, utilized by both expert and citizen data scientists. This role combines hands-on data science with platform optimization and support responsibilities.
If you're a problem-solver passionate about transforming data into actionable insights and proficient in tools like Python, Git, Terraform, and AWS, this opportunity is for you.

---------------------------------------------------------------------------------

Key Responsibilities
Data Science & Platform Enablement
Design, build, and automate data workflows and analytics pipelines using Dataiku (DSS).
Support internal teams and citizen data scientists in effective Dataiku utilization.
Promote best practices in workflow structure, code quality, and governance.
Platform Development & Automation
Manage and enhance our AWS-hosted Dataiku platform.
Develop and maintain automation pipelines, integrations, and reusable components.
Monitor and refine platform usability and performance.
Cross-Team Collaboration
Collaborate with cloud, infrastructure, MLOps, and data governance teams.
Assist in deploying ML pipelines into production alongside data science teams.
Work with support teams to resolve issues and improve user experience.
Documentation & Knowledge Sharing
Create comprehensive guides, documentation, and tutorials.
Contribute to the development of an internal knowledge base on analytics and Dataiku usage.
---------------------------------------------------------------------------------

Qualifications
Must-Have
3+ years in data science, analytics, or data platform roles.
Hands-on experience with Dataiku DSS.
Proficient in Python, with working knowledge of Git and Terraform.
Good understanding of AWS infrastructure and cloud deployments.
Comfortable with automation, platform monitoring, and support.
Nice-to-Have
Experience with MLOps, DevOps, or ML pipeline deployment.
Familiarity with platform governance and performance tuning.
Exposure to enterprise data environments and integration work.
Soft Skills
Clear communicator across technical and non-technical teams.
Problem-solver with a proactive mindset.
Team player with a drive to learn and improve.

---------------------------------------------------------------------------------

Education
Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field.

---------------------------------------------------------------------------------

Why Join Us?
Be part of a transformative journey in data utilization.
Collaborate with top-tier data teams and contribute to scaling a modern data science platform.
Gain exposure to a diverse ecosystem of tools, projects, and business domains.
Combine technical expertise with cross-functional impact in a dynamic, inclusive culture.

Please note: ALTEN Belgium is only considering candidates who do not currently require a work permit and will not require one in the future to work in Belgium.

About the Company

ALTEN is a group of 57 000 professionals present all over the world and counts more than 88% of its employees being engineers. For 35 years, ALTEN has been working closely with its customers to develop their industrial strategy in the areas of Innovation, Research & Development and Information Systems Technologies. ALTEN is present in following business lines : - Technology Consulting and Engineering (TCE) : studies and conception of technological products for the technical divisions of customers in the industrial and tele... Know more

Related Jobs

Company background Company brand
Company Name
Johnson & Johnson Innovative Medicine
Job Title
Data Scientist, AI/ML Drug Discovery
Job Description
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function Data Analytics & Computational Sciences Job Sub Function Data Science Job Category Scientific/Technology All Job Posting Locations: Beerse, Antwerp, Belgium, Spring House, Pennsylvania, United States of America, Toledo, Spain Job Description AI/ML Senior Scientist in Drug Discovery Data Sciences Next Generation Automation refers to the bidirectional coupling between automated lab equipment and Artificial Intelligence (AI). Through successive iterations, such closed-feedback loop systems facilitate the AI-driven design, execution and analysis of experiments and utilize a wealth of in silico methodologies including active learning, multi-parametric dynamic optimization, model predictive control, Model-based Design of Experiments, and others. Within the Drug Discovery Data Sciences organization of Johnson & Johnson Innovative Medicine we have an open position for a senior scientist that will play a pivotal role in our strategic effort to transition automation into the next generation. To do so, the new member will collaborate within interdisciplinary teams comprising biologists, medicinal chemists, data scientists, computational chemists and IT experts across all therapeutic areas. They are expected to utilize their expertise and know-how to bridge the gap and close the loop between existing automation and in silico solutions and develop new modeling suites according to the needs of each project. Role And Responsibilities Co-develop system engineering plans for closed loop automation projects from PoC to production. Develop and productionize the in silico suites by using AI/ML and other appropriate modelling methodologies. Actively participate in evaluation of third-party solutions. Work closely with IT, engineering and Lab-tech to implement solutions. Communicate results in audiences with heterogeneous background. Requirements A PhD with an AI/ML publication track record. Previous experience with Process or Lab Automation. Familiarity with Model Predictive Control and DOEs or similar mathematical capabilities. Knowledge of Python development and affinity with AWS (or similar cloud environments). Strong interpersonal, organizational and communication skills. Motivation to be part of a team that celebrates diversity and offers an inclusive working environment where creativity and innovation can thrive.
Antwerp, Belgium
Hybrid
Full Time
24-04-2025
Company background Company brand
Company Name
Deliverect
Job Title
Analytics Engineer
Job Description
Deliverect As a rapidly scaling global SaaS unicorn, Deliverect stands at the forefront of revolutionising technological solutions for the dynamic hospitality and Q-commerce sectors. Our mission is clear: to empower ambitious individuals with the skills and knowledge to make a positive impact on business. Developing in their professional careers, all the while being a part of something larger than themselves. Department Focus At the heart of Deliverect beats the powerhouse known as Cloud Platform. We don't just offer a platform; we provide a reliable, scalable, and secure engine propelling businesses towards delivering the ultimate customer experience. Picture us as a squad of highly skilled engineers and architects, fuelled by a passion for crafting innovative and customer-centric solutions. Our relentless pursuit involves constant refinement and the infusion of new features into our platform, all designed to propel our customers towards unparalleled success. In today's fiercely competitive landscape, businesses must navigate a robust cloud software system. Enter our realm—we are the leaders on this mission. Our dedicated team is committed to aiding our loyal users in achieving their business goals and, in turn, providing their customers with a leading-edge ordering experience. We thrive in the realm where cutting-edge technology meets a commitment to excellence, ensuring that every interaction, every order, and every experience is nothing short of extraordinary Your Impact: You'll be at the forefront of leveraging data for decision-making and business optimisation, building scalable infrastructure, and delivering impactful analytics solutions. This is your opportunity to enhance our data capabilities and contribute to our continued success. An Analytics Engineer at Deliverect has several key responsibilities, primarily centered around bridging the gap between data engineering and business intelligence A Typical Day: Data Modelling and Transformation: Designing, developing, and maintaining models to transform raw data into structured, analytics-ready datasets. This involves working with tools like DBT. Dashboard Creation and Management: Building and managing dashboards to facilitate self-service analytics for various teams within the organisation. Data Pipeline Collaboration: Working closely with data engineers to define data pipelines, ingestion strategies, and data governance policies. Data Quality Assurance: Ensuring data quality, reliability, and consistency through robust testing and monitoring processes. Cross-functional Partnership: Collaborating with other teams (Product, Marketing, Sales, Operations) to understand their needs and provide actionable insights and analysis. Continuous Improvement: Continuously improving the data stack, best practices, and documentation. Drive and support strategic projects through internal and external analysis Your Expertise: Strong expertise in SQL is essential (BigQuery ideal). Computer Science degree Familiarity with data pipeline orchestration and ETL tools. Strong problem-solving skills and ability to work cross-functionally with technical and non-technical teams. Experience with data governance, testing, and monitoring best practices. Quick learning ability and adaptability to new challenges Nice-to-Have Past experience in analytics engineering, data analytics, or data engineering. Experience with Python for data scripting and automation, proficiency in Looker, knowledge of cloud (GCP ideally). Background in the Food Tech or SaaS industry. Additional Information: This is a full-time, hybrid role with a flexible work schedule, offering 3 days in our Ghent, Belgium office or Madrid Office with 2 days of remote work. Fluency in English is required, with strong written and verbal communication skills being essential. To apply, please submit your resume and a brief description of your experience working in fast-paced environments. Join Deliverect: Where You Shape Tomorrow's Success At Deliverect, we're not just seeking team members; we're on the lookout for dynamic individuals who thrive in a fast-paced SaaS environment. We are fueled by perceptive, ambitious, and determined professionals who embrace challenges and turn them into opportunities for innovation. What We Bring To The Table Unicorn Status: Join a fast-growing SaaS unicorn at the forefront of the order management industry. Learning Opportunities: We invest in your growth with a dedicated learning budget and clear learning pathways. Inclusive Policies: Our paternity/maternity policies, enhanced vacation entitlement, and working arrangements reflect our commitment to your success. Diverse Team: Become part of an international team that values diversity, fostering a culture of transparency and visibility. A Peek into Life at Deliverect Performance-Driven Freedom: Your contributions speak louder than the clock. Achieve flexibility by focusing on what matters—delivering impactful results. Your autonomy in choosing how you achieve success is recognised and celebrated. Innovation Hub: Immerse yourself in a culture of constant innovation, where weekly releases and new features keep our products at the forefront. Big Challenges, Bigger Solutions: Be part of a mission to solve some of the global tech industry's most significant challenges. Equal Opportunities at Deliverect: We're committed to creating an inclusive and diverse workplace. We actively encourage applications from underrepresented individuals, fostering a workplace where everyone is treated with respect and provided equal opportunities to thrive. Rights to Work: While we welcome diverse backgrounds, it's crucial to note that applicants must have the legal right to work in the country of the role. Though we value contributions from various backgrounds, we currently can't offer financial support for relocation or travel assistance. Supporting Your Journey: If you need assistance or support during our recruitment process or require accommodations due to a disability, reach out to us at talent@deliverect.com. Join Deliverect, a workplace where culture meets career advancement.
Ghent, Belgium
Hybrid
Full Time
24-04-2025
Company background Company brand
Company Name
Gorilla - Energy data applications
Job Title
Software Engineer - Data Platform
Job Description
Join us at Gorilla and be part of a mission to transform the energy industry. At Gorilla you'll play a vital role in developing cutting-edge data solutions that drive us towards a net-zero future. Our focus is on crafting efficient, reliable, and flexible software applications to tackle the unique challenges of data processing and analysis in the energy sector. Together, we're not only driving digital transformation and maximizing ROI for our clients but also contributing to the global effort of achieving net-zero emissions through technology and data-driven insights Your Role You will take ownership of maintaining and improving our in-house Data Platform built on AWS cloud. As a key member of our engineering team, you will design, build, and deploy services on top of the platform, enabling other teams to efficiently access and leverage data for their applications and projects. Your expertise in software engineering and cloud computing will drive the scalability, security, and reliability of our data infrastructure. Maintain, enhance, and shape the next generation of our AWS-based data platform. Design and implement new services and features to meet the needs of both clients and internal teams. Collaborate with data engineers and other stakeholders to ensure data availability, reliability, and scalability. Build infrastructure and automation to support deployment, monitoring, and maintenance using DevOps best practices. Write clean, maintainable, and efficient code to improve platform functionality and performance. Take ownership of the full service lifecycle: from design and development to deployment and support. Ensure the security and high availability of the platform and the services built upon it. Troubleshoot and resolve issues while continuously working to improve system efficiency and reliability. What You'll Need Strong background in software engineering, with expertise in cloud computing and DevOps practices. Hands-on experience in building, deploying, and maintaining services in AWS (e.g., EC2, Lambda, S3, RDS, Redshift). Proficiency in programming languages such as Python (preferred), Java, or Go. Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation). Experience in designing and implementing scalable, secure, and high-performance data services. Familiarity with CI/CD pipelines and automated testing best practices. Ability to manage complex systems and troubleshoot production issues effectively. Experience working in an agile, cross-functional team environment. Nice to Have Experience with big data tools such as Apache Spark, Kafka, or data platforms like Databricks or Snowflake. Knowledge of data governance, security best practices, and handling large data sets (e.g., Iceberg, Delta Lake). Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). If you are a proactive, innovative, and results-driven engineer passionate about building scalable, data-driven systems and services, we’d love to hear from you! About The Product Team Moving from a startup to a scale-up we are keeping our innovative spirit whilst we build the foundations of tomorrow's energy retailers software and data infrastructure. Product is the foundation of our company and needs to perform at a top level to make our vision a success. Product is driven by many talented and opinionated people who are eager to drive our vision forward. It is the place where engineering, technology, data, architecture and energy expertise come together to make a difference. Where And How You'd Work As engineering team lead you are expected to be present and guide the team which is mostly based in our Antwerp office. This can be done partially remotely but we do expect you to bring the team together on key moments and make sure they are motivated and empowered. Office Mix This role is currently an Office-Mix Hybrid role. This means you would chat with your leader and team to define the number of days you need to be together to collaborate and achieve outcomes in close proximity. This is often 1 - 2 days a week. The other days you have flexibility. This opportunity is for you if You want to inspire and teach team members, the company and customers on the benefits of a strong data strategy. You love talking to customers and stakeholders about data and data ecosystems both high level and more low level. You get excited from pushing and organising the team to create incredible steps forward and realise our vision and want to motivate and guide them each step of the way. What's In It For You Flexible work options - whether you choose Office Mix or Remote First Mix (currently available within certain timezones and locations). We offer country-specific mobility benefits, and the ability to work flexible hours. You will be equipped with the best technology for remote work. A job with purpose At Gorilla, we’re not just watching the world change—we’re making it happen! We provide cutting-edge data services to energy retailers, helping them tackle climate change while keeping the lights on; we’re here to make a big impact and have some fun along the way. Renumeration Approach which is clear and no-nonsense based on your experience and location. Core Benefits - Wherever your location, you can expect a generous PTO allowance and health insurance coverage. Career Growth opportunities As Gorilla is growing at an incredible pace, you can leave your mark – growing alongside Gorilla. Lifelong learning is part of our DNA, and we care about your individual dreams and ambitions, beyond just work. International Travel We host Gorilla Company Wide Gatherings where we all get a chance to see each other in real life. Past locations have included Portugal, Amsterdam, and Wallonia.
Antwerp, Belgium
Hybrid
Full Time
23-04-2025
Company background Company brand
Company Name
Cream Consulting
Job Title
Data Analyst
Job Description
Permanent position only WHAT IS CREAM ALL ABOUT? We could be a Cream Factory, a cooking blog or even a detective agency…but in reality, we are a consulting company in Business & Technology active in large organizations and industry leaders in Banking, Insurance, Telecom, Energy, Pharmaceutical & Transport. CREAM’S SPECIAL RECIPE: 1/3 of Personal development 1/3 of Collective Intelligence 1/3 of Intrapreneurship And Bonus ingredient: … Some passionate colleagues :-) WHAT IS A DATA ANALYST AT CREAM? As Benjamin, Data Analyst, you participate in the construction of the data strategy of our clients. You have a key role by helping them to deliver valuable insight based on their data. You are part of a challenging and multidisciplinary team. YOUR TASKS : You understand the business request You dive into a large amount of data : Collecting and interpreting data Analyzing results Identifying patterns and trends in data sets Producing strategic data analysis and reporting to the business You contribute to the selection and implementation of the different data analysis tools In the end, you help the business to optimize the use of their data HOW WE IMAGINE OUR FUTURE CONSULTANT: You have at least 1-year experience in data analysis You are passionate about data and you bring out concrete analysis to help the business You are used to work with different data tools such as SQL, SAS, Python, R, Tableau, QlikView, PowerBI, … You have an analytical mind and inclination for problem-solving You pay attention to details You are fluent in French and English; good knowledge of Dutch is an asset WHY SHOULD YOU TASTE CREAM/THE LIME FLAVOR? A broad diversity of career options, you’re not stuck in a box You evolve in a learning environment where you can challenge your knowledge with your colleagues You grow in a company that is at the leading edge of technology You have the opportunity to bring new ideas to develop a thriving company We have values we share, live with and experiment every day We just hire great people and give them the playing field to become awesome! "THE LITTLE THING THAT CAN MAKE THE DIFFERENCE, CREAM IS DEVELOPING A DIVERSITY PLAN AND WOULD LIKE THAT ALL ITS MEMBERS REFLECT THE SOCIETY IN ALL ITS DIVERSITY"
Brussels, Belgium
Hybrid
Full Time
23-04-2025