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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering, including data modeling, mining, and transformation, while ensuring data quality and security. Proficient in collaborating with cross-functional teams to leverage data for business analysis and predictive modeling.
Highest-signal resume keywords
Expert Proficiency In PythonHands-On Experience With SQL Database DesignTechnical Expertise With Data ModelsData Engineering CertificationExperience In Data Science Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data MiningData Segmentation TechniquesData StructuringData ExtractionData TransformationPredictive ModelingAnalytical SkillsNumerical SkillsData Quality ImprovementData Reliability
Soft Skills
Strong Communication SkillsTeam PlayerCuriosity About Data DevelopmentsProblem-Solving SkillsAbility To Work Independently
Tools & Technologies
HadoopGoogle AnalyticsMarketoSalesforce Sales CloudData Warehouse SolutionsGlobal Data Lake
Certifications & Qualifications
Data Engineering CertificationIBM Certified Data Engineer
Industry Keywords
Data SystemsData ArchitectureData Security MeasuresData ProfessionalsExecutive Environments
Tech Stack
Tools & technologiesCloudHadoopJavaPythonSQLC++
About the role
Key responsibilities & impact- Build and maintain data systems
- Construct datasets that are easy to analyse and support company requirements
- Implement methods to improve data reliability and quality
- Combine raw information from different sources into consistent and machine-readable formats
- Develop and test architectures that enable data extraction and transformation for predictive or prescriptive modelling
- Turn raw data from SSD, Digital and other sources into structured data
- Shape and improve the Global Data Lake (currently UDL) and Data Warehouse solution
- Own end-to-end data structuring for reporting, business analysis and automation of recurring processes and tasks
- Build algorithms and prototypes for extracting and transforming data for predictive or prescriptive modelling
- Look for ways to enhance data quality and reliability and collect additional data points
- Collaborate with data scientists, data analysts and architects in central and local teams
- Ensure work remains backed up and accessible to relevant coworkers
- Remain up-to-date with industry standards and technological advancements
Requirements
What you’ll need- Strong communication skills
- Team Player that can work cross-functional (both with marketing and sales-oriented roles)
- Curious about the latest developments in data and a clear understanding of how organizations can leverage these opportunities
- The ability to work comfortably in a collaborative setting
- Technical expertise with data models, data mining, and segmentation techniques
- Hands-on experience with SQL database design
- Great numerical and analytical skills
- Expert proficiency in Python, C++, Java, R, and SQL
- Familiarity with Hadoop or suitable equivalent
- Excellent analytical and problem-solving skills
- A knack for independence and group work
- Scrupulous approach to duties
- Capacity to successfully manage a pipeline of duties with minimal supervision
- Know the latest data security measures and apply them rigorously, securely managing and storing data to protect it from loss or theft
- Fluent in English and Dutch
- MSc in Computer Science, Data Science, Management Information Systems, Statistics, Analytics or any other related field
- 5+ years of working experience
- Proven track as a Data professional in high-paced, executive environments
- Experience in Data science tools (e.g. 'R')
- Background as a data engineer, software developer or similar
- Data engineering certification (e.g IBM Certified Data Engineer) is a plus
- Knowledge of Google Analytics, Marketo and Salesforce Sales Cloud or any other relevant digital marketing tools
- French is a plus
Benefits
Comp & perks- Attractive total remuneration package: excellent company pension, bonus, share scheme
- Flexible cross-disciplinary career opportunities
- Wealth of training opportunities & wellbeing resources
- Plenty of company-paid holidays
- Interchangeable public holidays
- Paid paternity leave of 6 weeks
- Transgender policy
- Home working equipment
- Tasty canteen with prepped food and own products
- My Fitness Plan (deduction on your Fitness Subscription)
- Home working allowance
- Company laptop and mobile phone
- Green Mobility Policy