SIBLING

About the Company

We are Sibling, a modern IT Technology Recruitment Agency servicing Clients across Europe and the USA. We provide permanent, contract, and retained recruitment services. With over 20 years of combined recruitment experience, we're on the pulse of modern technology.

Our Sectors:
Data Science/Data Engineering
DevOps/SecOps/MLOps
Cyber Security
Software Development
Embedded Software

Our Candidate services:
Information on market salaries/rates and skills/technical trends.
Upfront salary and package details.
Detailed job descriptions, company info, and further technical insights.
Insights into working environment, company culture, and career prospects.
CV and Interview advice.

Speak to us:
+44 203 865 7392
hello@siblingrecruitment.com

Find out more:
www.siblingrecruitment.com

Listed Jobs

Company Name

SIBLING

Job Title

Data Engineer

Job Description

**Job Title:** Data Engineer / BI Specialist **Role Summary:** Design and build scalable star‑schema data models to power analytics and reporting. Collaborate with business and technical stakeholders to translate requirements into robust dimensional structures, optimise ETL/ELT pipelines, and ensure high‑performance data warehousing for a leading Belgian energy client. **Expectations:** - Deliver accurate, maintainable fact and dimension models. - Translate business needs into technical specifications. - Maintain and improve data pipeline efficiency and warehouse performance. - Provide reliable data models for BI/reporting teams. - Operate in a hybrid environment (remote + on‑site in Belgium). **Key Responsibilities:** - Design and implement fact/dimension tables using Kimball/star‑schema methodology. - Collaborate with business analysts and data scientists to capture and refine data requirements. - Develop, optimise, and monitor ETL/ELT processes on modern platforms (Databricks, Azure). - Tune data warehouse performance and ensure data quality and consistency. - Support BI developers by delivering clean, well‑documented data models for Power BI, Tableau, etc. - Produce technical documentation and data dictionaries as needed. **Required Skills:** - Strong experience in data warehousing and dimensional modelling (Kimball/Star Schema). - Advanced SQL proficiency. - Hands‑on experience with Databricks and Azure data services. - Familiarity with ETL/ELT tools (e.g., Azure Data Factory, Informatica, dbt). - Proficiency in at least one BI/reporting tool (Power BI or Tableau). - Ability to work independently and in cross‑functional teams. - Excellent communication skills in English (Dutch/French a plus). **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent practical experience). - Relevant certifications are a plus (e.g., Microsoft Certified: Azure Data Engineer Associate, Databricks Certified Data Engineer).

Brussels, Belgium

On site

10-09-2025

Company Name

SIBLING

Job Title

Full Stack Engineer

Job Description

**Job Title** Full Stack Engineer **Role Summary** Design, develop, and maintain scalable web applications, handling end-to-end responsibilities from front-end UI to backend services. Work primarily with TypeScript/React for the client side and Python-based AWS Lambda functions for the serverless backend. **Expectations** - Own feature development from UI design to backend API integration. - Deliver clean, maintainable code in a collaborative, product‑driven environment. - Ensure seamless user experience through robust data flows and API reliability. **Key Responsibilities** - Develop and maintain TypeScript/React components and state management. - Design, implement, and test Python Lambda functions, API Gateway endpoints, and DynamoDB interactions. - Set up and manage CI/CD pipelines using GitHub Actions (or equivalent). - Collaborate with product managers, designers, and QA to refine requirements and deliver high‑quality features. - Optimize performance, scalability, and reliability of both front‑end and back‑end components. **Required Skills** - Proficient in TypeScript and React (hooks, context, component lifecycle). - Strong experience writing Python for serverless environments (AWS Lambda). - Hands‑on knowledge of AWS services: Lambda, API Gateway, DynamoDB, S3. - Familiarity with CI/CD practices, Git workflows, and GitHub Actions. - Ability to design clean APIs and implement data integration patterns. - Excellent problem‑solving, debugging, and code‑quality practices. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience). - Optional: AWS certification (e.g., AWS Certified Developer – Associate).

Antwerp, Belgium

On site

04-11-2025

Company Name

SIBLING

Job Title

Senior Data Scientist

Job Description

**Job Title** Senior Data Scientist **Role Summary** Lead the design, development, and deployment of AI solutions for high‑volume industrial manufacturing. Translate manufacturing data into actionable insights and production‑grade models that improve quality, yield, and operational efficiency. Collaborate cross‑functionally with plant engineers, operations staff, and data platform teams to move models from prototype to production at scale. **Expectations** - 5–10+ years of data science experience, preferably in manufacturing or industrial settings. - Proven track record of taking models from concept through to production deployment. - Strong technical proficiency in Python, SQL, Azure / Databricks, and MLflow. - Ability to work with MES/SCADA/historian data and build robust manufacturing ontologies. - Excellent communication and collaboration skills with engineering, plant operations, and data platform stakeholders. - Self‑motivated, result‑driven focus on measurable operational impact. **Key Responsibilities** - Develop predictive models for quality (scrap reduction, first‑time‑right) and OEE analysis. - Build predictive maintenance solutions using time‑series and sensor data. - Create and maintain manufacturing ontologies (plants → lines → machines → batches → defects). - Integrate models into production pipelines using Azure services, Databricks, and MLflow. - Collaborate with plant managers and engineers to define KPI models and validate model outputs on the shop floor. - Iterate models based on real‑world performance feedback and retrain using incremental data. - Ensure model governance, reproducibility, and monitoring in production environments. **Required Skills** - Advanced statistical & machine‑learning modeling (regression, classification, time‑series analysis). - Proficiency with Python (pandas, NumPy, scikit‑learn, TensorFlow/PyTorch). - Experience with SQL and big‑data processing (Databricks/Apache Spark). - Familiarity with Azure machine‑learning stack, including MLflow, Azure Databricks, and Azure ML services. - Knowledge of MES/SCADA integration and historian data retrieval. - Expertise in deploying models to cloud or edge environments, ensuring latency and reliability. - Strong problem‑solving skills and the ability to translate business needs into technical solutions. - Excellent written and verbal communication for cross‑functional collaboration. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Electrical/Electronics Engineering, Industrial Engineering, or related technical field. - Preferred certifications: Microsoft Certified: Azure Data Scientist Associate or equivalent. ---

West flanders, Belgium

On site

Senior

19-11-2025