Deliverect

Analytics Engineer

Deliverect

full-time

Posted on:

Location Type: Hybrid

Location: Ghent • 🇧🇪 Belgium

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Job Level

Mid-LevelSenior

Tech Stack

BigQueryCloudETLGoogle Cloud PlatformPythonSQL

About the role

  • Design, develop, and maintain data models using tools like DBT to transform raw data into structured, analytics-ready datasets, ensuring accuracy and optimal performance for downstream consumption
  • Build and manage insightful and reliable dashboards to facilitate self-service analytics for Product, Marketing, Sales, and Operations teams, enabling data-driven decision-making across the organisation
  • Partner with cross-functional teams (Product, Marketing, Sales, Operations) to deeply understand their business needs, providing actionable insights and deep-dive analysis to drive business optimisation and support strategic projects.
  • Collaborate closely with Data Engineers to define data pipelines, establish ingestion strategies, and implement robust data governance policies.
  • Ensure data quality, reliability, and consistency through rigorous testing, monitoring, and validation processes, proactively identifying and resolving data discrepancies.
  • Propose and implement continuous improvements to the data stack, enhance best practices, and maintain clear, up-to-date documentation.

Requirements

  • 3+ years of experience in analytics, data engineering, or a similar data-focused role, preferably in a high-growth SaaS environment.
  • Strong expertise in SQL, with practical experience working with large datasets (experience with BigQuery is ideal).
  • Proven experience with data modelling and transformation tools like DBT, demonstrating an understanding of data pipeline orchestration and ETL concepts.
  • Strong problem-solving skills and the ability to work effectively and communicate clearly with both technical and non-technical teams.
  • A strong sense of ownership, quick learning ability, and a proactive approach to adapting to new challenges and technologies.
  • Experience with data governance, testing, and monitoring best practices.
  • Formal education in Computer Science, Data Science, or a related quantitative field, or equivalent work experience.
  • Highly Desirable Skills: Experience with Python for data scripting and automation, proficiency in a visualisation tool like Looker, and knowledge of cloud platforms (GCP ideally).
Benefits
  • Learning budget and pathways
  • Paternity / Maternity policies
  • Enhanced holiday or vacation entitlement
  • Flexibility around working hours, locations and office days
  • Diverse international team; regular company and team events
  • Transparency and visibility on company vision, strategy, roadmap and progress
  • Constant innovation on products, with weekly releases, constant new features and incremental optimisations
  • The opportunity to be a part of solving some of the biggest challenges facing the global food tech industry
  • Equal Opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLDBTdata modellingdata transformationETLdata governancedata testingdata monitoringPythonBigQuery
Soft skills
problem-solvingcommunicationownershipquick learningproactive approach