Data

Data Engineer

Amsterdam, Netherlands

Overview

As Big Data & AI are booming, we are looking for an outstanding Data Engineer to join our Synechron team in Amsterdam! You will be working on solving AI challenges across the business, and your knowledge and skills will help shaping the future of banking.


Our Digital Innovation & Transformation team is working on leading our clients through the digital revolution. Realizing their digital innovation strategies and programs is a key focus area. We are working to help set up innovation labs and centers of excellence, gain value from innovation partnerships, develop proofs of concept and minimum viable products around new and emerging technologies, and implement digital solutions. Throughout this process, we serve as strategic advisors on how to apply innovation to domain-specific use cases for the financial services industry, with the business challenge always at the heart of the program. We partner with our digital and technology teams to deliver solutions from future state vision and concept to large scale implementation.

Interested in joining us? 
For further information, please contact our recruiters via recruitment-AMS@synechron.com.

Responsibilities

As Data Engineer you will:

  • Help to solve AI challenges (Predictive Analytics, Statistical Analysis, Machine Learning & Deep Learning)
  • Prepare data for predictive modelling and Machine Learning tasks, use data to discover tasks that can be automated, serve as advisors on data science principles, and provide an explanation for the model behavior and possible correcting actions
  • Set up and maintain pipelines in/out of database, IoT devices, and data warehouses, and clean and organize (big) data 

Requirements

You are:

  • Equipped with at least 3 years of experience as a Data Engineer
  • Highly analytical with strong problem-solving skills
  • An excellent verbal and written communicator in Dutch and English
  • Passionate about the financial services industry
  • Experienced in solving complex challenges using data analysis and modelling
  • Able to explain complicated analyses to a non-technical audience with your storytelling and data visualization skills
  • Able to demonstrate programming experience in at least SQL, Scala and/or Python (pandas), Big Data (Spark, Hadoop), Streaming (Spark-Streaming / Kafka / Storm) and Cloud Computing (AWS/GCP/Azure)

It would be great if you also had:

  • Experience with Docker/Kubernetes, DevOps (CI/CD)

We Can Offer You

  • A state-of-art office next to the Johan Cruijff Arena as well as allowance to set up your home office
  • Competitive salary and yearly bonus
  • Comprehensive training budget, focusing on both skills and content knowledge and personal development
  • Company car or mobility budget, laptop & mobile phone
  • Excellent working atmosphere: Friday drinks, sport activities, Christmas party & yearly legendary trip abroad with a young, dynamic team
  • 30 days for holiday
  • A flat and approachable organization
  • Possibility of working abroad - Singapore, London, Dubai, New York, feel free to think global!
  • A DUO-budget to spend on food & drinks together with a mentor
  • We are a Great Place To Work, and ranked top 10 best Multinational Workplaces in the Netherlands for five years now
     

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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