Data Engineer - AWS
More than just data engineering
We are a leading engineering company delivering mission-critical IT solutions. We place our experts in the lead combining 100% customer satisfaction and a people-centred approach.
As an AWS Data Engineer, you will be part of one of our financial customer teams. A self-steering team in charge of creating a data platform to enable reporting across business units. We aim to create a clear strategy for data transformation, to give our customer insights into their data.
You will have the opportunity to work in an innovative highly skilled environment, where you will be involved in the data strategy of the customer by developing a data platform that will be used to create various use cases for our customer users of data. You will architect and build around data lake in an AWS environment and participate in a Teradata migration to the public cloud.
Not enough? This is what your future colleagues have to say:
“When you have an idea, you can make it happen. We are here to support you and shape this together with the customer” - Mission Critical Data Engineer
“We always look for ways to implement automation because that’s a more efficient and often more accurate way to work; we’re not incentivized to spend more hours having humans do something machines can do.” - Mission Critical Engineer
"Schuberg Philis is a company that respects people's way of life, personal choices, and personal interests. You do your work the way you like. You have complete freedom to decide how to plan your day" - Trust Accelerator Lead
What will you be working on?
- Designing, building and running data lakes in AWS.
- Developing and maintaining data pipelines (e.g. S3, Lambda's, Glue, etc)
- Configuring and managing tools like Spark, Glue, Kinesis, S3, Lambda, Kafka, Redshift, Athena, EventHub, etc.
- Supporting tooling such as Gitlab (CI/CD), Terraform (Infra)
- Develop and maintain SQL code.
What will make you successful in this role?
- Experience building data pipelines in a cloud-native manner (e.g. S3, Lambda's, Glue, etc)
- Used to working with large data sets in both data lakes (S3) & data warehouses (Redshift)
- Good AWS knowledge, especially all the data-related services
- Experienced with Python & data library ecosystem
- Excellent communication skills
- Being a T-shaped data engineer, strongly skilled in one domain and broad working knowledge in multiple areas
Everyone we work with and consider working with has a right to equal treatment. The hiring and appraisal process at Schuberg Philis is designed to be thorough and equitable, implementing fair payment, benefits, and opportunities across all demographics.
It is our desire to be a company that brings together multiple nationalities, cultures, religions, genders, abilities, and talents within and across our teams. We welcome colleagues from diverse backgrounds to join Schuberg Philis and actively support diversity and inclusion in the tech industry.
Schuberg Philis is an IT services provider focused on mission-critical projects, ensuring the reliability and security of essential business systems for its clients. With a strong emphasis on long-term partnerships, the company delivers a comprehensive range of services, including orchestration, DevOps, and cloud transitions, tailored to meet the unique needs of industries and infrastructures.
- Founded
- Founded 2001
- Employees
- 201-500 employees
- Industry
- IT Services