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We are looking for a senior Data Engineer for Team Data Product Engineering
We are a data engineering team working to bridge the gap between data producers and data consumers. Our focus is to enhance efficiency in crafting data products through a streamlined journey leveraging our platform capabilities. Our mission is to deliver our business goals with general-purpose data engineering solutions and methodologies, aligning best practices from the company and the industry.
What will you do?
In your role as a Senior Data Engineer, you can work in an ever-evolving agile way of working where you will be part of an empowered product team that strives for continuous learning and improvement. You and your team will:
- Providing support, guidelines and best practices on creating and operating data products.
- Creating and maintaining data products based on business requirements.
You will collaborate with your Product Owner to ensure the right functionality is being developed and the work package can be broken down into tangible items with complexity estimation to be able to plan upcoming sprints. You will determine and maintain the technical design in our area within the given architectural guidelines. Interacting with stakeholders and System Architect is an equally important part of your daily work.
Tech we use daily:
Python, Apache Spark, Bash, Table formats (Delta), Cloud Platform technology (Azure), Docker, Data Platforms (Databricks/Snowflake), Github.
Who are you?
We believe you have minimum of 8 years of experience in related fields, that you are familiar with Agile methods, and that you are fluent in English, both verbal and written.
Here's what we're looking for in our ideal candidate:
• Deep knowledge and passion for modern data architecture principles.
• Experience in design, development and operation of data pipelines.
• Extensive hands-on experience as a Data Engineer in an agile environment.
• Comfortable working independently and collaboratively.
• Pragmatic approach, understanding the trade-offs between the perfect solution and a working solution.
• Passion for improving code quality as well as data quality.
• Knowledgeable about data modeling, data access, and data storage techniques.
• Experience with cloud technologies (Azure and AWS).
• Experience in applying data privacy and protection methods/tools.
Additionally, knowledge in Software Engineering, System Design, SQL, Orchestration Tools (Airflow/Prefect/Dagster), Data Streaming (Apache Kafka), CI/CD toolchain, IaC, GitOps, DevOps, and Networking is essential.
Data is integral to everything we do. Therefore, we expect a certain level of data acumen and any experience working with the complexities surrounding data is considered useful.
We also value experience in:
• Applying product thinking in working with data
• Data governance
• Modern data architecture such as data mesh
• Experience in creating reports for conveying business information or insights
You are a person with a proactive approach, a problem solver, and a flexible team player. Together with you we will have even more fun. We’d love to see that you are eager to learn, have a proactive approach when solving daily issues and you never lose your service-minded thinking. You are used to working in a high pace and fast changing business, which gives you additional drive and stimulates your sense of urgency, creativity, and curiosity. You have an ability to create trust around you while influencing others with the right mindset and company culture. Furthermore, you are analytical, organized and have a great attention to detail.
You are structured, enthusiastic, self-driven and results oriented. We believe that you have strong communication and analytical skills. It is meritorious to have experience in the automotive industry.
Facts
City: Göteborg
Work Time: 100%
Start:
End:
Application deadline: November 11, 2024
Do you have questions about the assignment?
Contact person: Elias Neamatallah
Email: elias.neamatallah@asociety.se
Phone: 0761 71 47 16
Or, know someone who would be a perfect fit? Let them know!
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