Senior Data Engineer (offline)

*Your Role:*

- Maintaining, improving and creating containerized Data Pipelines

- Ensuring high reliability, efficiency and quality of data

- Setting up, enhancing and maintaining data, application and infrastructure monitoring

- Building and improving ETL data pipelines from various sources and to different consumers

- Implementing CI/CD

- Assisting the Analytics team with their data needs through data transformations and APIs

*What you should bring:*

- Passion to build and maintain big end-to-end systems (some experience in DevOps)

- Good analytical skills and Can-Do mentality

- Can propose and implement technical solutions with good software architecture

- Strong knowledge of Python
- Strong knowledge of Docker
- (Strong) Experience in AWS + services like: Lambda, Athena, IAM, Stepfunctions, ECS, API-Gateway

- Experience in SQL

Nice-to-have: GCP (Google Cloud Platform), Azure, Terraform, Serverless Stack and serverless architecture

*What can you further expect from us:*

Competitive salary
Flexible working hours
Very international environment
Being part in a highly motivated and outstanding talented team

About haensel-ams

Founded in 2014, we at Haensel AMS are a Berlin based technology & data analytics solution provider. We develop, apply and implement cutting edge mathematical techniques and machine learning methods in various industry projects thereby contributing to the commercial success of our clients.

We have successfully managed steady growth over the past 6 years and want to continue our growth curve also in international markets. We embrace innovation and are proud to have a dynamic, team focused culture.

We are an equal rights employer with flat hierarchies and a fun environment with a focus on the team. Our values are: team spirit, willingness to learn, honesty, trust, taking initiative and ownership, and last but not least having fun.

Company website:
https://haensel-ams.com/