AWS Data Engineer

InterEx Group; Stockholms län; On-site; SEK 900,000 - 1,200,000; Full time

Job summary

InterEx Group is expanding its Data & Analytics footprint and seeks a Senior Data Engineer to collaborate with product owners, architects and global teams to maximise data value and drive business change. You will design, build and implement scalable data products on our global data platform while ensuring ownership and stability and prioritising data quality.

You will work with ETL processes, data pipelines, and data modelling to deliver impactful solutions in a Scrum/agile environment.

Qualifications

• Experience using an IDE for ETL (integrating data sources and pipelines).
• Proficiency in Python for data processing and transformation.
• Strong SQL skills for querying and data manipulation.

Responsibilities

• Design, build and implement scalable data products on the global data platform.
• Secure ownership and stability of data products and ensure data quality.

Skills

Python

SQL

Data Modelling

Data Warehouse

ETL

IDE for ETL

Scrum/Agile

Tools

IDE for ETL

Job description

For this client, we are growing our Data & Analytics footprint. As our new Senior Data Engineer, you will collaborate with product owners, architects and other key profiles across the global organisation helping business verticals and clusters maximising the value of our data and drive business change as an impact of this.

You will be responsible for delivering value-add products, ensuring high success rates as well as being an ambassador that data quality is always a priority. Your primary focus will be designing, building and implementing scalable data products on our global data platform and securing ownership and stability of the products.

Qualifications and Skills:

The tech stack needed is:

• Experience using an IDE for ETL
• Python
• SQL
• Data Modelling & Data Warehouse experience
• Experience working within scrum and in an agile team

Preferably you would be someone with strong experience in ETL processes and data pipelines.