AdresAnalytics Engineer/ Data Analyst
- Amsterdam area (remote flexible)
- 6-month project with possible extensions
- Start date: April 2024
Analytics Engineer/ Data Analyst - Your Mission:
Join our exceptional Data team as an Analytics Engineer/ Digital Data Analyst and embark on a journey to leverage data for transformative insights. Your role will be pivotal in supporting the migration of customers from one platform to another, particularly focusing on the Journey Orchestrator. This automated system ensures precise messaging to our customers, requiring maintenance, development, and rigorous testing of Spark models. Additionally, you'll lead a Proof of Concept (POC) to translate PySpark models into dbt SQL, assessing its feasibility for adoption.
Analytics Engineer/ Data Analyst - Your To-Do List Will Include:
- Conducting analysis to optimize migration processes.
- Innovating creative solutions to enhance migration efficiency.
- Spearheading dbt POC for migration transition.
- Proactively monitoring and addressing bugs.
- Continuously maintaining and developing features for the Journey Orchestrator.
- Implementing unit tests to ensure accuracy.
- Assisting the Product Owner in data-driven decision-making.
Analytics Engineer/ Data Analyst - What We're Looking For:
We seek individuals with at least three years of Data Analyst and/or data engineer experience, prioritizing practical skills over formal education. Proficiency in SparkSQL, PySpark, DBT and solid SQL and Python skills are essential, along with familiarity with version control systems like git. Strong communication skills and a collaborative mindset are vital in our small team environment. Experience with data pipelines, visualization tools, orchestrator tools, and automation tools is advantageous.
Analytics Engineer/ Data Analyst - Sound Good to You?
If you're ready to join a dynamic team driving data-driven innovations, send your CV and motivation to the provided email. Let's shape the future of data analytics together.
Get in touch with Daniel, Senior Key Account Manager about this assignment:
[email protected] / 020 30 58 541
Why should you join?
Global Industry Leader: Join a renowned global leader at the forefront of digital innovation, setting industry standards and pushing boundaries.
Cutting-Edge Technology: Be part of a team that leverages state-of-the-art technology to shape the future of analytics and data-driven decision-making.
Impactful Work: Contribute to the creation of impactful data products for the Online Shipping domain, influencing strategic decisions and driving innovation within the organization.
Collaborative Environment: Thrive in a collaborative work environment, where your insights and contributions will be valued, and you'll work closely with stakeholders across various teams.
Professional Growth: Enjoy ample opportunities for professional growth and development, with a focus on continuous learning and skill enhancement in a dynamic industry.
Confidentiality: Work on confidential and high-impact projects, ensuring a sense of responsibility and exclusivity in your role as a Data Product Owner.
Strategic Location: Based in the vibrant business landscape of Europe, specifically in the Netherlands, experience the benefits of working in a strategic location that offers both professional opportunities and a high quality of life.
Inclusive Culture: Join a diverse and inclusive workplace that values the unique perspectives and contributions of every team member.
Agile Methodologies: Be part of a team that embraces Agile methodologies, ensuring a dynamic and adaptive approach to project management for efficient and effective results.
Competitive Compensation: Enjoy a competitive compensation package that reflects your skills and contributions, along with additional benefits that prioritize your well-being.
Darwin Recruitment is acting as an Employment Business in relation to this vacancy.
Requirements:
Analytics Engineer/ Data Analyst - What We're Looking For:
We seek individuals with at least three years of Data Analyst and/or data engineer experience, prioritizing practical skills over formal education. Proficiency in SparkSQL, PySpark, DBT and solid SQL and Python skills are essential, along with familiarity with version control systems like git. Strong communication skills and a collaborative mindset are vital in our small team environment. Experience with data pipelines, visualization tools, orchestrator tools, and automation tools is advantageous.
Analytics Engineer/ Data Analyst
- Amsterdam area (remote flexible)
- 6-month project with possible extensions
- Start date: April 2024
