Data Engineer – SME Analytical Reporting | Scrum Master | Code Review Lead at DEME Group (2025-12 – Present)
DEME Group is a global offshore contractor active in dredging, offshore energy, infra marine, and environmental works. Jonas joined as an internal Data Engineer with an extended scope covering SME responsibilities, Agile leadership, and team enablement.
- Assigned as SME for the Azure Analysis Services environment and leading the migration towards Databricks.
- Co-designed a mono-repo structure with a team member for individual asset bundles based on reusable template bundles, enabling consistent delivery across the team.
- Set up individual CI/CD pipelines per data product in Azure DevOps, ensuring smooth and reliable delivery cycles.
- Adopted a Python/PySpark-first development approach for all data engineering deliverables.
- Redesigned the entire change enablement process flow to align with Agile principles in Azure DevOps; communicated and embedded this way of working across the department.
- Leading sprint planning sessions, estimation meetings, and user story quality assessments based on structured assessment criteria.
- Acting as code review lead for source-aligned and consumer-aligned data products delivered in Databricks.
- Deep-diving into Databricks cost controlling and monitoring to optimise platform spend.
- Researching and designing an approach for incorporating data contracts into the team's Databricks way of working.
- Serving as SME for data modelling; guiding the BI team in understanding dimensional modelling and star schema design for consumer-aligned products.
- Building a data catalog based on data products with lineage traceability from within Databricks.
- Training and leading 2 team members in Chennai (India) on Git usage, while managing their L1/L2 support responsibilities for the legacy Azure Analysis Services solution.
- Operating according to ITIL principles, delivering on time and within budget.
- Collaborating closely with data officers and stakeholders to understand business needs and validate requirements during PoC phases.
- Investigating and implementing IAM configuration based on job title access control via Entra groups to platform resources.
- Using Terraform to deploy and manage Azure resources as Infrastructure as Code (IaC).
- Setting up near real-time reporting on water installation sensor data.
- Consuming vessel telemetry data and modelling it towards actionable insights for repair and maintenance planning.
- End-to-end traceability of procurement cycles and asset management via extraction from Maximo (IBM).
- Water treatment insights on filtration systems based on IoT Data and deliver in near real time.
- Following up on project cycles to ensure delivery alignment with business timelines and expectations.
- Applying a Python-first approach to extract data from APIs using dlt-hub (data load tool).
Data Engineer – Practice Development at CODIT (2024-06 – 2024-12)
CODIT is a Microsoft-focused integration and data consultancy. Jonas joined to help establish and structure the data engineering consultancy branch from the ground up.
- Designed and delivered learning paths to onboard and upskill data engineers within the new practice.
- Set up documentation standards and frameworks to support consistent knowledge sharing.
- Created reusable templates for data engineering projects to accelerate future client delivery.
- Built CI/CD pipeline structures using Azure DevOps to support the practice's delivery model.
Data Engineer at Punch Powertrain (2024-01 – 2024-05)
Punch Powertrain is an independent global automotive supplier of innovative and energy-efficient powertrains for conventional, hybrid, and electric vehicles. Jonas contributed to a greenfield Azure data platform implementation enabling access to SAP data.
- Implemented Lytix Architecture to extract data from SAP systems and store it in ADLS Gen2 Datalake, with transformations built in Azure Databricks.
- Extraction from SAP ERP and BW systems using the SAP CDC Connector and SAP Table Connector.
- Created incremental load mechanisms with ingested data from the SAP Table Connector.
- Ensured valid communication between SHIR and SAP Gateway.
- Checked and communicated SAP role requirements to the client.
- Developed data pipelines in Databricks and Azure Data Factory.
- Set up meta-driven pipelines with row-based iteration for automated processing.
- Rebuilt SAP logic in collaboration with business users.
- Evaluated and advised on SAP Table ingestion vs. SAP Extractor exposure on a use-case basis.
- Use cases included: a traceability report on serial number level (SAP Table Connector) and a financial use case based on SAP BPC data (SAP Table & SAP CDC).
Data Engineer at Barco NV (2023-06 – 2023-11)
Barco NV is a Belgian technology company specialising in digital projection and imaging technology across entertainment, enterprise, and healthcare markets. Jonas built data pipelines for a greenfield Azure implementation consolidating multiple SAP sources.
- Extracted data from various sources including SAP ERP and BW systems using the SAP CDC Connector.
- Developed data pipelines in Databricks and Azure Data Factory.
- Built the Power BI data model for reporting.
Data / Automation Consultant at Twice As Nice (2023-04 – 2023-05)
Twice As Nice is a retailer of high-quality jewelry across multiple store locations. Jonas automated the distribution of shop-specific sales targets.
- Built a Power Automate flow to query datasets, extract values, and distribute them as formatted HTML tables via email.
- Applied CSS styling to create a polished email layout for the distributed reports.
Data Analyst at Johnson & Johnson (2023-02 – 2023-03)
Johnson & Johnson wanted a clear lineage overview of columns used in their Power BI reports.
- Analysed and documented used columns across reports.
- Built a data model fitting their lineage tracking needs.
- Coordinated with the in-house data engineering team to align on requirements.
Data Analyst at Smet Group (2022-09 – 2023-05)
Smet Group is a Belgian family company specialising in underground drilling technologies. Lytix was engaged to improve financial insights and reporting capabilities.
- Created financial statements and advised on report design and data model comprehension.
- Fulfilled layout requirements from the client side.
- Created paginated reports for printing using Power BI Report Builder (SSRS).
- Developed DAX measures using disconnected tables for advanced calculations.
- Built a commenting application on reports using Power Apps.
Power BI Trainer at Clarebout & Ahold Delhaize (2022-09 – 2022-10)
Delivered in-depth Power BI training sessions for multiple organisations.
- Clarebout (September 2022): Trained business and IT staff on Power BI concepts and reporting on top of SAP HANA.
- Ahold Delhaize (October 2022): Trained 20+ international Power BI Producers across two sessions via Microsoft Teams, covering governed report creation and service concepts.
Data Engineer / BI Developer at 3DM (2022-08)
3DM is an autonomous company specialised in....
