Data Engineer
Solliciteren
Plaats
Brussel1000
Brussel
België
Contract
Vooltijds, Onbepaalde duurDatum gepubliceerd
2026-02-14Online to:
2026-04-15EUR 15.00 HOUR
Data Engineer
- AXA Partners
- Brussel
- 6 uren geleden
Data is a key part of AXA's journey \"from Payer to Partner\", and its transformation to a Data Driven company. To succeed in this journey, AXA Partners Data Strategy has been organised around 6 pillars: Enable Business initiatives, Protect Data, Organize and Govern initiatives, Manage Data, Empower People on Data, Deliver and operate Data Platforms.
Data Engineering is therefore the cornerstone of the data transformation journey, ensuring strong IT Data capabilities foundations, implementing sustainable Data Operations with high level of service delivery and enabling any analytical initiatives, to provide at the end business value across AXA Partners.
AXA Partners has defined a decentralized operating model for data appointing data teams in BUs and geographies to be responsible for the proper deployment of data strategy closer to business owners. Whereas a Central Data Office manages the Data Platforms, Big Data & Analytics frameworks, standards and guidelines.
As a Data Engineer, part of a Data Team, your main mission is to maintain and enhance the operationality of the Data Team Assets or components at the right-level to ensure that the Data Team Strategy's ambitions can be met and customers are served with the right level of quality.
Your second mission, as a Data Ops, is to implement and enhance the current production data flows of the Datalake (from extraction to business actionable consumption).
Your third mission, is to support, upskill and advise on processes or technical tasks, other Data Fellows of your Data Team in the achievements of their own data jobs.
You will be part of the overall Data Partners community, and a key actor of the Data Engineer Network.
What You'll Be Doing
In relation with Data Providers (source owners) and Data consumers (analysts, scientists etc.), make sure that all relevant data is easily accessible, industrialized and documented in the Big Data environments, whatever the complexity of transformations or large variety of data sources.
Take part in developing, enhancing and maintaining data applications in Data platforms
Liaise with the community of people involved in the extraction, integration, structuration and valorization of data (IT Owners, Data Teams, Business analysts and specialists such as Data Scientists)
Take part in improving and deploy data engineering standards, procedures, processes and operational guidelines around target data components managed by Central framework
Contribution to data road map definition, in coordination with other teams/customers
Interact with data scientists, analysts and business to define data sourcing strategy regarding the use-case
Manage interactions with data providers or other data engineers of other data teams for data lake project and BAU tasks
Support to other data fellows : technical demonstrations, UAT, training, expertise
Share with Central and community for data assets evolution
Take part in the strategic decisions of target data components with other of the Data Family
Development and automation of ingestion flows, data curation and access layers
Define solution urbanizations and take part in the development and deployment of applications following central standard and guidelines
Contribute to the improvement of standards and datalake processes for the Data Family
Design, develop, test, promote and industrialize data ingestion flows, datamarts and core target data components
Implement tools and end-to-end monitoring to ensure high availability of production data processing, data quality and reliability
Maintenance of data treatments in the Lake
Perform BAU and report regularly on this activity
Solve issues and problems
Support other technical data experts of your data team (data analyts etc.) or data end users in the use of data lake, applications or current platform assets
What You'll Bring
Technical/ Functional Knowledge, Skills and Abilities
You are familiar with the Big Data stack in cloud environment (ADLS, Databricks, ADF, Azure DevOps etc)
You have very solid background on working with SQL Databases and Datawarehouses.
You have a very good understanding of spark processes
You are fluent in multiple development languages (SQL and Python are a must)
You have a good understanding of the software development process (git, ci/cd etc.)
You have a good knowledge about BI systems (Spotfire or Power BI)
BI skills are a plus
Entrepreneurial, team and can-do spirit, able to work unsupervised and with problem-solving skills, constantly striving for effective solutions
Creativity, innovation mindset and ability to correctly take into account technologies low stacks
Customer-centric with quick reactivity on issues or changing requirements to deliver high-level of service
Working with Agile mindset in an international, multicultural and complex environment (English is mandatory)
Experience
Education, Professional Qualifications and Experience
Degree in IT development with Big Data major or equivalent work experience.
Minimum of 2-year experience in production Big Data environment (build & run), with a proven expertise in data engineering/analytics projects, ideally in major and multi-cultural organizations with large-scale data.
Fluent English, French or Dutch is a plus (with willingness to learn)
Experience in Insurance/Assistance would be appreciated
What We Offer
At AXA Partners, we're appreciative of the people who work for us and our rewards package is reviewed regularly to reflect that. You can expect to receive:
Competitive salary
Hybrid working
35 days holidays
Cafetaria plan
Performance Bonus
Meal Voucher
Hospitalisation & \"ambulatoire\" Insurances
etc.
To apply, click on the 'apply for this job' button, you'll then need to log in or create a profile to submit your CV. We're proud to be an Equal Opportunities Employer and don't discriminate against employees or potential employees based on protected characteristics. If you have a long-term condition or disability and require adjustments during the application or interview process, please send an email to AXA Partners Global HR Response -
Who We Are
We're AXA Partners, experts at designing and delivering assistance solutions and specialised insurance, credit, and lifestyle protection – with and for our partners worldwide. What sets us apart? The expertise and passion of our 8,500+ people, and a strong network of over 55,000 professionals all over the world. Powered by them and our sector-leading technology, we continuously evolve, adapt and thrive – offering solutions and services that make sure we're always at people's side, no matter what. Helping others is our passion. Combining the best digital technology with our warm, human touch, we're always looking at new ways to offer seamless and reassuring experiences when it really matters.
Join a company that helps protect the forests At AXA Partners, we plant a tree for every new recruit (with a permanent contract)
Data Engineering is therefore the cornerstone of the data transformation journey, ensuring strong IT Data capabilities foundations, implementing sustainable Data Operations with high level of service delivery and enabling any analytical initiatives, to provide at the end business value across AXA Partners.
AXA Partners has defined a decentralized operating model for data appointing data teams in BUs and geographies to be responsible for the proper deployment of data strategy closer to business owners. Whereas a Central Data Office manages the Data Platforms, Big Data & Analytics frameworks, standards and guidelines.
As a Data Engineer, part of a Data Team, your main mission is to maintain and enhance the operationality of the Data Team Assets or components at the right-level to ensure that the Data Team Strategy's ambitions can be met and customers are served with the right level of quality.
Your second mission, as a Data Ops, is to implement and enhance the current production data flows of the Datalake (from extraction to business actionable consumption).
Your third mission, is to support, upskill and advise on processes or technical tasks, other Data Fellows of your Data Team in the achievements of their own data jobs.
You will be part of the overall Data Partners community, and a key actor of the Data Engineer Network.
What You'll Be Doing
In relation with Data Providers (source owners) and Data consumers (analysts, scientists etc.), make sure that all relevant data is easily accessible, industrialized and documented in the Big Data environments, whatever the complexity of transformations or large variety of data sources.
Take part in developing, enhancing and maintaining data applications in Data platforms
Liaise with the community of people involved in the extraction, integration, structuration and valorization of data (IT Owners, Data Teams, Business analysts and specialists such as Data Scientists)
Take part in improving and deploy data engineering standards, procedures, processes and operational guidelines around target data components managed by Central framework
Contribution to data road map definition, in coordination with other teams/customers
Interact with data scientists, analysts and business to define data sourcing strategy regarding the use-case
Manage interactions with data providers or other data engineers of other data teams for data lake project and BAU tasks
Support to other data fellows : technical demonstrations, UAT, training, expertise
Share with Central and community for data assets evolution
Take part in the strategic decisions of target data components with other of the Data Family
Development and automation of ingestion flows, data curation and access layers
Define solution urbanizations and take part in the development and deployment of applications following central standard and guidelines
Contribute to the improvement of standards and datalake processes for the Data Family
Design, develop, test, promote and industrialize data ingestion flows, datamarts and core target data components
Implement tools and end-to-end monitoring to ensure high availability of production data processing, data quality and reliability
Maintenance of data treatments in the Lake
Perform BAU and report regularly on this activity
Solve issues and problems
Support other technical data experts of your data team (data analyts etc.) or data end users in the use of data lake, applications or current platform assets
What You'll Bring
Technical/ Functional Knowledge, Skills and Abilities
You are familiar with the Big Data stack in cloud environment (ADLS, Databricks, ADF, Azure DevOps etc)
You have very solid background on working with SQL Databases and Datawarehouses.
You have a very good understanding of spark processes
You are fluent in multiple development languages (SQL and Python are a must)
You have a good understanding of the software development process (git, ci/cd etc.)
You have a good knowledge about BI systems (Spotfire or Power BI)
BI skills are a plus
Entrepreneurial, team and can-do spirit, able to work unsupervised and with problem-solving skills, constantly striving for effective solutions
Creativity, innovation mindset and ability to correctly take into account technologies low stacks
Customer-centric with quick reactivity on issues or changing requirements to deliver high-level of service
Working with Agile mindset in an international, multicultural and complex environment (English is mandatory)
Experience
Education, Professional Qualifications and Experience
Degree in IT development with Big Data major or equivalent work experience.
Minimum of 2-year experience in production Big Data environment (build & run), with a proven expertise in data engineering/analytics projects, ideally in major and multi-cultural organizations with large-scale data.
Fluent English, French or Dutch is a plus (with willingness to learn)
Experience in Insurance/Assistance would be appreciated
What We Offer
At AXA Partners, we're appreciative of the people who work for us and our rewards package is reviewed regularly to reflect that. You can expect to receive:
Competitive salary
Hybrid working
35 days holidays
Cafetaria plan
Performance Bonus
Meal Voucher
Hospitalisation & \"ambulatoire\" Insurances
etc.
To apply, click on the 'apply for this job' button, you'll then need to log in or create a profile to submit your CV. We're proud to be an Equal Opportunities Employer and don't discriminate against employees or potential employees based on protected characteristics. If you have a long-term condition or disability and require adjustments during the application or interview process, please send an email to AXA Partners Global HR Response -
Who We Are
We're AXA Partners, experts at designing and delivering assistance solutions and specialised insurance, credit, and lifestyle protection – with and for our partners worldwide. What sets us apart? The expertise and passion of our 8,500+ people, and a strong network of over 55,000 professionals all over the world. Powered by them and our sector-leading technology, we continuously evolve, adapt and thrive – offering solutions and services that make sure we're always at people's side, no matter what. Helping others is our passion. Combining the best digital technology with our warm, human touch, we're always looking at new ways to offer seamless and reassuring experiences when it really matters.
Join a company that helps protect the forests At AXA Partners, we plant a tree for every new recruit (with a permanent contract)
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