Analytics Engineer

LEVY PROFESSIONALS
Den Haag, Netherlands
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Agile Methodology Airflow Business Analytics Applications Data Analysis Microsoft Azure Information Engineering Standard Sql Snowflake Technical Debt Data Analytics Data Management Data Pipelines
+1 more
Mulesoft

Job description

We are currently looking for a skilled Analytics Engineer for one of our clients within the financial services domain. This is a hybrid role combining hands-on engineering, technical leadership, and solution design within a modern cloud-based data environment.

You will work on business-critical reporting and analytics solutions used for both internal stakeholders and external clients. The environment is highly data-driven and focused on scalability, automation, and continuous improvement.

This opportunity is ideal for someone who enjoys remaining hands-on technically while also influencing technical direction, mentoring colleagues, and solving complex engineering challenges.

Your responsibilities

  • Design, build, and maintain scalable cloud-based data solutions
  • Develop and optimize modern data pipelines and reporting processes
  • Contribute to technical and architectural decision-making
  • Work closely with engineers, product owners, architects, and business stakeholders
  • Translate business requirements into scalable technical solutions
  • Improve data quality, platform stability, and engineering standards
  • Mentor and support other engineers within the team
  • Help reduce technical debt and improve long-term maintainability
  • Participate in Agile ceremonies and collaborative engineering discussions

Tech stack

  • Azure
  • Snowflake
  • dbt
  • Airflow
  • SQL
  • MuleSoft is considered a plus

Requirements

Do you have experience in Scalability?, * Around 6+ years of experience within data engineering or analytics engineering

  • Strong experience with modern cloud data platforms
  • Hands-on experience with Azure and Snowflake/dbt environments
  • Experience designing scalable data pipelines and data models
  • Ability to take ownership of technical solutions end-to-end
  • Strong communication skills and stakeholder interaction experience
  • Experience mentoring or guiding other engineers
  • Someone proactive, pragmatic, and solution-oriented
  • Fluent in English

About the company

Since 2000 we provide professional solutions to organizations ranging from tech start-ups to global players. From our offices in Amsterdam and London we have built an international and local network of skilled employed professionals and contractors fuelled by our passion for connecting skills with projects. Over the years we have fulfilled over 2500 requirements and nowadays we consistently have 250+ professionals recruited and relocated from 14 countries allocated to various projects. Our strength is the way that we see and treat people. This will always be a key factor in our strategy for many years to come.

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