We are a specialist  in temporary assignments. Our clients are wellknown banks, government, energy, construction and other companies
For our an international bank in Utrecht we are looking for a Sr. Data Analytics Engineer


Assignment:  Senior Data Analytics Engineer
Location: Utrecht
Startdate : 02-06-2025
Enddate: 31-05-2026  with possible extension
Working hours a week : 36 hours

Deadline to apply : 14-05-2025  at 16.00 cet

ONLY APPLY IF YOU ARE LIVING IN THE NETHERLANDS (ONSITE), HAVE A VALID WORKING PERMIT FOR EU AND DO NOT NEED A SPONSORSHIP.

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Language : English mandatory
ZZP Allowed : No

Description Vacancy : Job Title: senior Data Analytics Engineer

Job Description
Are you ready to utilize your BI and Data Analytics skills and be part of Rabobank’s digital transformation? Are you ready to leverage your seniority to guide and develop the BI & Data Engineering capability within the bank?
Within External reporting we are seeking a passionate and ambitious senior Data Analytics Engineer.

You and your talent
• You share your experience and knowledge with the team on how to manage a reporting and data analytics solution effectively and translate business needs into adequate development requirements and data solutions.
• You guide and influence the team members towards the vision of the Area and bring an overarching vision and viewpoint on data products to ensure that we create valuable and sustainable information solutions. You define designs and patterns which team applies for development.
• You manage quality criteria set for development and lead and guide developers to adhere to.
• Building future proof data solutions utilising the latest techniques and tools that keep us at the forefront as a bank. Intense collaboration with data engineers within and x-team and source data owners to maintain, simplify and enhance the existing application and to increase efficiency and data quality.
• Ensuring maintenance and development of the squad data products into future proof and compliant solutions.
• Time management: You are able to manage your time between ad hoc tasks and larger projects. You are familiar with prioritization in a scrum environment and are able to plan and deliver work effectively.
• System security and compliance: You are familiar with current security and compliance standards in the banking environment. The ability to assess if a solution not only delivers quality output, but also applies banking-level security standards through the process is a great plus.

Experience and qualification
• Bachelor's or Master's degree in Computer Science, Information Technology (pre), or related field;
• At least 5 years of demonstrated experience with Data Analytics within BI development /Data Engineering/Azure;
• Considerable experience with Azure tooling as Azure Data Lake, Databricks, Airflow, YAML etc.
• Strong proficiency in at least one programming language such as Python and SQL
• Strong knowledge of data modelling (including historical data), data lakehouse and ETL processes
• Big data technologies such as Spark, Data Science affinity with relevant libraries in python.
• Experience with Azure DevOps pipelines is a plus.
• Communication in English.

Competencies
• Comfortable in guiding and collaborating with a team of engineers and analysts;
• Strong analytical skills, ability to learn quickly to understand complex topics
• Strong problem-solving skills and attention to detail;
• Result-oriented, have can-do mentality, proactive learner
• Excellent communicator and able to link colleagues cross domains;
• Up to date with latest technological developments;
• Experience in Agile/Scrum way of working;
• Self-Motivated, self-driven, effectively working within a team as team player
• Innovative thinking
 

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