(Senior) AWS Data Engineer

  • Data & AI
  • Amsterdam, Groningen
  • Fulltime
(Senior) AWS Data Engineer

– Please note: we are only looking for candidates that are (already) based in the Netherlands! Not based in the Netherlands? Your application won’t be considered. –

What impact will you make today as (Senior) AWS Data Engineer at Eraneos?

At Eraneos, we activate data and use AI to create real value for our customers. Are you up for a new data driven challenge? Become a (Senior) AWS Data Engineer with us!

Join our Data & AI team and you get to work with the brightest data engineers and bring innovative ideas to life. Our team is driven by creating technical & innovative solutions that make an impact at our customers. We aim to go the extra mile and help our customers become more data driven and get valuable results.

In your role as (Senior) AWS Data Engineer you will be working in a dynamic role that puts you in the position of a technical lead responsible for implementing our solutions together with a team of data engineers and data scientists. In this position you will be working with a focus on AWS and our Data Hub and Applied AI solutions. You will get the best algorithm into production, design user stories before implementation, develop data structures and data pipelines.

Tasks & responsibilities

  • Design and implement scalable, robust, and high-performance data architectures that meet business requirements.
  • Provide technical leadership and guidance to junior data engineers, educate them on best practices and give support to their professional development.
  • Work closely with cross-functional teams including data scientists, analysts, and business stakeholders to understand their needs and deliver effective data solutions.
  • Build and maintain data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
  • Include and implement data quality checks and validations in your data pipelines to ensure accuracy, completeness, and consistency of data.
  • Build and maintain strong relationships with stakeholders, fostering trust and understanding to effectively deliver data solutions that align with business goals.
  • Identify and optimize performance bottlenecks in data pipelines and storage systems to improve throughput, latency, and resource utilization.
  • Evaluate new technologies, tools, and frameworks in the data engineering space, and make recommendations for adoption based on business needs and technical feasibility.
  • Implement and optimize continuous delivery pipelines for data engineering workflows, enabling rapid and reliable deployment of data solutions.
  • Collaborate with sales and account management teams to understand client requirements, propose data solutions, and contribute to business development efforts.
  • Ensuring data security, privacy, and compliance with relevant regulations by implementing appropriate security measures and access controls.
  • Design and implement cloud infrastructure solutions using tools such as Terraform, ARM templates, AWS CloudFormation, or AWS Cloud Development Kit.

Where, what & with whom?

Eraneos group is an international group with more than 1000 employees, providing complementary consulting and implementation expertise. We drive our clients’ digital transformation in an even more targeted and comprehensive manner.

In your role as (Senior) AWS Data Engineer you will be part of the Eraneos Data & AI team in the Netherlands. We combine business understanding, technical knowledge, extensive experience, and our innovative mindset to activate data and turn it into actual value. We are driven by achieving meaningful results and dedicated to unleashing the full potential of digital, and the full potential of Data & AI.

We advise on, design, build, and deliver Data & AI solutions. Our team consists of consultants, data architects, data scientists, data engineers, software engineers and project managers. These professionals each have their own expertise, but also share a passion for solving data problems and innovating. We can handle any data & AI challenge, end-to-end, full-stack, using technologies like Kubernetes, Spark, Kafka, Scikit learn and Cloud-native components (Azure and AWS) and development languages like Java or Python.

What will you bring in terms of technical skills?

  • A bachelor or master’s degree preferably in combination with 5+ years of experience as a Data Engineer.
  • You have experience with designing and implementing infrastructure using infrastructure-as-code tools such as Terraform or ARM templates.
  • You have a thorough understanding of fundamental AWS services regarding storage, compute, networking, security, and identity management.
  • In depth knowledge of AWS data services such as S3, RDS, EMR, Glue, Athena, or Lambda.
  • You possess a strong understanding of data modelling concepts and techniques, including relational, dimensional and NoSQL data modelling.
  • You apply clean coding principles and best practices within your daily routine developing in languages such as Python, Java, or SQL.
  • You have experience with a range of streaming data technologies, such as SQS, SNS, Kafka, or Kinesis.
  • You have experience with pipeline orchestration tools such as Step Functions, Glue, or Airflow.

Who are you?

  • You’re a lifelong learner, constantly seeking to expand your knowledge, skills and methodologies within the field of data engineering.
  • You serve as a mentor, guiding and nurturing the next generation of data professionals at Eraneos.
  • You enjoy sharing your expertise and experiences with the broader tech community through writing blog posts, speaking at conferences or meetups.
  • You consider yourself to be independent, entrepreneurial, accurate, communicative and open-minded.
  • You speak fluent Dutch AND English (must have!)

Our offer

Eraneos is ‘Great Place to Work’ certified. The Data & AI team offers an innovative and informal environment in which people can grow, develop, and learn from each other. Our colleagues love working with us because of the challenging projects they get to work on, the solid development possibilities and the comfortable working environment. The team culture is entrepreneurial, non-hierarchical, informal, and accessible.

Our office is based in Amsterdam next to the Johan Cruijff Arena and we have an office in Groningen. We have fully embraced the hybrid way of working.

Furthermore, we offer:

  • A competitive base salary
  • A bonus scheme
  • We fully embraced the hybrid way of working
  • A compensation for the set-up of an ergonomic home office, sports related activities and/or equipment and BYOD
  • Possibilities to work on certifications and/or your professional development.

And last but certainly not least: we organize tech talks, hackathons, innovation days, team outings and parties!


Did we manage to get your interest? Please apply via the website and we will be in touch soon. Or get directly in touch with our interim recruiter – Eva via 0638148354 – she will be happy to tell you more about the role and the Data & AI team!


We source our candidates directly, responses by employment agencies and similar are not accepted.

Apply for this vacancy

Eva Schikker

Corporate Tech Recruiter

Any questions? Please don’t hesitate to contact me.

There is more

Next to a great job, you can expect the following:

Personal development and trainings

Valuable trainings and certifications on relevant topics of your choice.

Hybrid working

Plenty of working-from-home options and a personal budget for an ergonomic home office.


For example, annual choice to work full-time or part-time, remote working, or exchange 2 national holidays for 2 non-national holidays.

Healthy lifestyle

Annual sports budget, and a lot of attention to vitality in the form of webinars and workshops.

Company culture

Become part of an open, flat organization with a collegial atmosphere.

Events and drinks

Annual (sports) activities such as the ‘Dam tot Damloop’, frequent drinks, team outings, and a big end-of-year party.

The application process

1 Apply

Apply easily and fast by filling out the application form.

2 Introduction call

First step is an introduction call via telephone or video to get to know each other.

3 Live interview

During the live interview we will get to know you as a person and discuss your drive and ambitions.

4 Technical interview

This interview will be an in-dept technical interview where we assess your technical level and your technical skills in a specific tech stack.

Will you be part of our team? Apply