You will work on Data & BI projects with a strong architecture, modeling and data integration dimension. On a current engagement, you will work in particular on:

1. data quality and data cleansing

2. extracting data from a proprietary ERP;

3. integrating PostgreSQL data into Microsoft Fabric;

4. designing and evolving Data / BI architectures;

5. data modeling, in particular star schema;

6. setting up and evolving the data flows;

7. in time, designing or evolving Power BI reports.

Beyond technical expertise, we are looking for someone able to step back, challenge architecture decisions and talk directly with client teams. A senior profile, comfortable sharing their expertise and recommendations, and working alongside our teams in client meetings.

You have 10 to 12 years' experience in Data / BI environments and you are comfortable in contexts where technical and business stakes have to be grasped quickly. In particular you have command of:

1. SQL

2. Python

3. Microsoft Fabric

4. Power BI

5. Data Architecture

6. Data modeling / star schema

7. Data Warehouse / Data Lake

8. Good command of the Azure environment

9. Experience with PostgreSQL is an asset

You are a French speaker with a very good level of English, written and spoken.

You are also comfortable talking with clients, can explain technical subjects in plain terms and can frame recommendations that fit the challenges at hand.

SQL

Python

Microsoft Fabric

Power BI

As a Data engineer, you will work as part of a team, mainly on projects.

• Designing and maintaining robust, scalable data pipelines (batch & streaming)

• Optimizing data ingestion, transformation and delivery

• Contributing to data modeling and to the evolution of the data lake / data warehouse

• Working closely with data scientists, data analysts and business teams

• Implementing good practice in data quality, security and governance

• Supporting architecture decisions and keeping up with technology

• Solid experience (5+ years) in data engineering, in cloud and data-driven contexts

• Good command of ETL/ELT pipelines and modern data architectures (Data Lake, Lakehouse…)

• Strong grounding in modeling, query performance and optimization

• A taste for agile environments and multidisciplinary teams

• Initiative, technical rigor and a willingness to share

• Technical English required, fluent English appreciated

• Languages: Python, SQL, Spark

• Orchestration: Airflow, dbt, Prefect

• ETL: Informatica, Talend, Blueway, etc

• Dataviz: Power BI, Tableau

• Storage: BigQuery, Snowflake

• CI/CD & Monitoring: Git, Docker, Terraform, Datadog / Grafana

• Contributing to the functional and technical design of integration projects (running workshops, modeling, documentation, recommendations)

• Building and optimizing integration flows in Informatica

• Running and steering technical test campaigns and supporting business acceptance testing

• Applying and helping shape development and architecture standards

• Coaching and mentoring the more junior members of the team

• Contributing to pre-sales phases and to the life of the technology communities

• Supporting our clients and bringing your own value to the table

• A bachelor's to master's level education,

• Informatica cloud

• AWS, Snowflake and SQL are a plus

• An interest in Data Warehousing, Business Intelligence and Big Data.

Informatica cloud

The KPC Digital Factory team is looking for a new fullstack developer.

You will take part in building web applications for our clients, in an agile format and to our code quality and delivery standards.

Project development:

• Working with end users to understand their needs and build a shared vision of the product

• Building and getting a client project off the ground

• Taking part in the agile ceremonies

• Working with the tech lead through the analysis and technical design phases

• Implementing the tasks while respecting clean code principles

• Taking part in code reviews and proposing improvements to code quality and architecture

• Preparing and presenting demos to end users

• Building and testing application features independently

• Implementing UX/UI designs in an application

• Following the application architecture principles validated by the technology teams

• Taking part in the structuring, decisive development work on the project

• Analyzing the client need and assessing its technical feasibility

• Analyzing and writing technical specifications and breaking work down into tasks within EPICs/US.

• Able to negotiate and prioritize a project backlog against technical constraints

• Stepping in during agile ceremonies on technical points and the priorities that follow from them

• Writing technical application and solution documentation

And you will also:

• Act as technical reference and help more junior colleagues with their technical tasks

+ Technology watch and innovation

• Contribute to the strategic and technological development of the Digital Factory team by working occasionally on R&D topics

• More than 2 years' experience in React and Java development

• First experience in frontend (Angular, React or VueJs) in an agile context

• Command of Git

• Command of TypeScript

• Knowledge of one or more component libraries

• Teamwork: remote and in person

• Autonomy, curiosity and a willingness to put ideas forward

Complementary

• GitLab – GitLab CI/CD

• React libraries: RTK Query, Material UI, Axios

• Knowledge of CDD development methodologies

• Knowledge of a backend framework (Spring Boot, NestJS, .NET Core)

-

• Languages: Java, React, Angular

• CI/CD & Monitoring: Git, Docker, Terraform, Datadog / Grafana

As a Lead Data Engineer Snowflake, you will work as part of a team, mainly on projects.

• Designing optimized architectures in a Snowflake context,

• Designing and setting up data ingestion (real time, Kafka, Snowpipe),

• Data modeling (Star Schema, DataVault, DataMesh, virtualization) – DataOps

• Implementing data transformation and value creation (SQL, Python, Java, Scala) – DataOps

• Optimizing Snowflake performance and running costs (FinOps)

• You hold an engineering degree or a Master's

• Solid experience (5+ years) in data engineering, in cloud and data-driven contexts

• Good command of ETL/ELT pipelines and modern data architectures (Data Lake, Lakehouse…)

• Strong grounding in modeling, query performance and optimization

• A taste for agile environments and multidisciplinary teams

• Initiative, technical rigor and a willingness to share

• Technical English required, fluent English appreciated

• You have genuine hands-on experience with Snowflake o

• Languages: Python, SQL, Spark

• Orchestration: Airflow, dbt, Prefect

• ETL: Informatica, Talend, Blueway, etc

• Dataviz: Power BI, Tableau

• Storage: BigQuery, Snowflake

• CI/CD & Monitoring: Git, Docker, Terraform, Datadog / Grafana

As a Lead Data Engineer Snowflake, you will work as part of a team, mainly on projects.

• Designing optimized architectures in a Snowflake context,

• Designing and setting up data ingestion (real time, Kafka, Snowpipe),

• Data modeling (Star Schema, DataVault, DataMesh, virtualization) – DataOps

• Implementing data transformation and value creation (SQL, Python, Java, Scala) – DataOps

• Optimizing Snowflake performance and running costs (FinOps)

• You hold an engineering degree or a Master's

• Solid experience (5+ years) in data engineering, in cloud and data-driven contexts

• Good command of ETL/ELT pipelines and modern data architectures (Data Lake, Lakehouse…)

• Strong grounding in modeling, query performance and optimization

• A taste for agile environments and multidisciplinary teams

• Initiative, technical rigor and a willingness to share

• Technical English required, fluent English appreciated

• You have genuine hands-on experience with Snowflake o

• Languages: Python, SQL, Spark

• Orchestration: Airflow, dbt, Prefect

• ETL: Informatica, Talend, Blueway, etc

• Dataviz: Power BI, Tableau

• Storage: BigQuery, Snowflake

• CI/CD & Monitoring: Git, Docker, Terraform, Datadog / Grafana

The senior SAP consultant is a seasoned expert who plays a crucial role in designing, implementing and optimizing SAP systems for our clients. With solid experience and deep knowledge of the SAP modules, they are responsible for giving strategic advice, running complex projects and guiding teams to make implementations succeed. The senior SAP consultant acts as a “stream lead”, building a complete understanding of client needs and delivering tailored solutions that maximize added value.

Main responsibilities: 1 / Strategic advice and client management:

• Acting as a trusted advisor to clients, understanding their business challenges and proposing SAP solutions that fit.

• Playing an active part in shaping clients' IT strategy and aligning it with their business objectives.

• Able to size a project within their area of expertise

2 / Solution design and architecture:

• Defining the architecture of SAP solutions, bringing in industry best practice.

• Framing and defining the workshop design approach, and being able to understand and articulate a client need and translate it into processes and tooling

• Designing complex, innovative solutions while accounting for technical constraints and each client's specific needs.

3 / Project management and leadership:

• Acting as stream lead in their field, from design through to final delivery, managing teams, budgets and deadlines.

• Mentoring and training junior and experienced consultants, sharing knowledge and building the team's skills.

4 / Advanced support and continuous optimization:

• Providing high-level technical support and resolving complex problems proactively.

• Identifying opportunities to continuously improve SAP processes and systems, working closely with client teams.

5 / Technology watch and innovation:

• Keeping up to date with the latest SAP technology developments and market trends.

• Taking part in conferences, training and professional events to maintain a high level of expertise and thought leadership.

• Education: a university degree in computer science, information systems, management or a related field.

• Experience: at least 5/7 years as an SAP consultant, with deep expertise across several modules and solid project management experience (must have covered at least 4 projects, including 1 as a supervised “stream lead”; must have taken part in at least 2 projects, covering design / build / test / cutover / go-live support)

• Technical skills: advanced command of the SAP tools, including integrations and cloud solutions (SAP S/4HANA, SAP Fiori, etc.). Able to project an architecture vision

• Languages: fluent French and English, spoken and written.

• Personal skills and qualities:

• Excellent strategic analysis and problem-solving skills.

• Clear leadership and the ability to manage and inspire teams.

• Excellent communication, negotiation and presentation skills.

• Strong adaptability and initiative.

• Strong client focus and the ability to build solid relationships.

• SAP tools, including integrations and cloud solutions (SAP S/4HANA, SAP Fiori, etc.)

You will be responsible for progress and delivery across the phases of a BI & Big Data project, working to an agile method:

• Making sure the scope's objectives are met in line with client expectations

• Building project roadmaps

• Putting ideas forward on business and technical issues

• Leading the technical teams

• Tracking the budget

• Managing invoicing

• Coordinating technical acceptance testing

• Managing priorities and escalating alerts

• Running risk analysis meetings and team meetings

• Taking part in the integration phase and monitoring go-lives

• You speak English

• You have 5 years' experience delivering projects, including solid experience in data

• You have a good grasp of data ecosystems and/or data organization

• You have worked across several projects at once

• You enjoy working in a team, project-based, to an agile and/or waterfall method

• You bring energy, rigor and responsiveness

DATA

As a Data engineer, you will work as part of a team, mainly on projects.

• Designing and maintaining robust, scalable data pipelines (batch & streaming)

• Optimizing data ingestion, transformation and delivery

• Contributing to data modeling and to the evolution of the data lake / data warehouse

• Working closely with data scientists, data analysts and business teams

• Implementing good practice in data quality, security and governance

• Supporting architecture decisions and keeping up with technology

• Solid experience (5+ years) in data engineering, in cloud and data-driven contexts

• Good command of ETL/ELT pipelines and modern data architectures (Data Lake, Lakehouse…)

• Strong grounding in modeling, query performance and optimization

• A taste for agile environments and multidisciplinary teams

• Initiative, technical rigor and a willingness to share

• Technical English required, fluent English appreciated

• Languages: Python, SQL, Spark

• Orchestration: Airflow, dbt, Prefect

• ETL: Informatica, Talend, Blueway, etc

• Dataviz: Power BI, Tableau

• Storage: BigQuery, Snowflake

• CI/CD & Monitoring: Git, Docker, Terraform, Datadog / Grafana

As a Lead Data Engineer Snowflake, you will work as part of a team, mainly on projects.

• Designing optimized architectures in a Snowflake context,

• Designing and setting up data ingestion (real time, Kafka, Snowpipe),

• Data modeling (Star Schema, DataVault, DataMesh, virtualization) – DataOps

• Implementing data transformation and value creation (SQL, Python, Java, Scala) – DataOps

• Optimizing Snowflake performance and running costs (FinOps)

• You hold an engineering degree or a Master's

• Solid experience (5+ years) in data engineering, in cloud and data-driven contexts

• Good command of ETL/ELT pipelines and modern data architectures (Data Lake, Lakehouse…)

• Strong grounding in modeling, query performance and optimization

• A taste for agile environments and multidisciplinary teams

• Initiative, technical rigor and a willingness to share

• Technical English required, fluent English appreciated

• You have genuine hands-on experience with Snowflake o

• Languages: Python, SQL, Spark

• Orchestration: Airflow, dbt, Prefect

• ETL: Informatica, Talend, Blueway, etc

• Dataviz: Power BI, Tableau

• Storage: BigQuery, Snowflake

• CI/CD & Monitoring: Git, Docker, Terraform, Datadog / Grafana

As a Data engineer, you will work as part of a team, mainly on projects.

• Designing and maintaining robust, scalable data pipelines (batch & streaming)

• Optimizing data ingestion, transformation and delivery

• Contributing to data modeling and to the evolution of the data lake / data warehouse

• Working closely with data scientists, data analysts and business teams

• Implementing good practice in data quality, security and governance

• Supporting architecture decisions and keeping up with technology

• Solid experience (5+ years) in data engineering, in cloud and data-driven contexts

• Good command of ETL/ELT pipelines and modern data architectures (Data Lake, Lakehouse…)

• Strong grounding in modeling, query performance and optimization

• A taste for agile environments and multidisciplinary teams

• Initiative, technical rigor and a willingness to share

• Technical English required, fluent English appreciated

• Languages: Python, SQL, Spark

• Orchestration: Airflow, dbt, Prefect

• ETL: Informatica, Talend, Blueway, etc

• Dataviz: Power BI, Tableau

• Storage: BigQuery, Snowflake

• CI/CD & Monitoring: Git, Docker, Terraform, Datadog / Grafana

As a Lead Data Engineer Snowflake, you will work as part of a team, mainly on projects.

• Designing optimized architectures in a Snowflake context,

• Designing and setting up data ingestion (real time, Kafka, Snowpipe),

• Data modeling (Star Schema, DataVault, DataMesh, virtualization) – DataOps

• Implementing data transformation and value creation (SQL, Python, Java, Scala) – DataOps

• Optimizing Snowflake performance and running costs (FinOps)

• You hold an engineering degree or a Master's

• Solid experience (5+ years) in data engineering, in cloud and data-driven contexts

• Good command of ETL/ELT pipelines and modern data architectures (Data Lake, Lakehouse…)

• Strong grounding in modeling, query performance and optimization

• A taste for agile environments and multidisciplinary teams

• Initiative, technical rigor and a willingness to share

• Technical English required, fluent English appreciated

• You have genuine hands-on experience with Snowflake o

• Languages: Python, SQL, Spark

• Orchestration: Airflow, dbt, Prefect

• ETL: Informatica, Talend, Blueway, etc

• Dataviz: Power BI, Tableau

• Storage: BigQuery, Snowflake

• CI/CD & Monitoring: Git, Docker, Terraform, Datadog / Grafana