Sr. Data Engineer

at  Swedium Global Services

Sr. Data Engineer
Swedium Global is looking for a Senior Data Engineer for one of its customer
Period from: 2024-09-26
Period to: 2025-03-31
Location: Europe, Remote work
Job Description
In this exciting and critical role, you will be involved in one of the biggest data transformation journey. As a data engineer, you will be working with building of data products in the context of Data Mesh concept based on defined target vision and requirements.
We appreciate a multitude of technical backgrounds, and we believe you will enjoy working here if you are passionate about data. In this role, you will be required to implement data-intensive solutions for a data-driven organization.
You will join the Data Engineering Competence area within AI (Artificial Intelligence), Analytics & Data Domain and be an individual contributor in one of the data product-teams. The area supports all our brands globally to create, structure, guard and ensure data is available, understandable and of high quality.

Responsibilities:

• Take end-to-end responsibility to build, optimize and support of existing and new data products towards the defined target vision
• Be a champion of DevOps mindset and principles and able to manage CI/CD pipelines and terraform as well as Cloud infrastructure, in our context, it is GCP (Google Cloud Platform).
• Ensure that our built data products work as independent units of deployment and non-functional aspects of the data products follow the defined standards for security, scalability, observability, and performance.
• Work close to the Product Owner and other stakeholders around vision for existing data products and identifying new data products to support our customer needs
• Work with product teams within and outside our domain around topics that relate to the data mesh concept.
• Evaluate and drive continuous improvement and reducing technical debt in the teams
• Maintain expertise in latest data/analytics and cloud technologies

Qualifications

• Passion for Data, people, and technology
• At least 4+ year’s work experience including hands-on as either:
• Data engineer on GCP/modern cloud data platforms /or advanced analytics environments.
• Software Engineer with cloud technologies and infrastructure
• Experience in GCP tools – Dataflow, Dataproc and Bigquery
• Experience in different data formats (Parquet, Avro)
• Experience in data query languages (SQL or similar)
• Experience in data centric programming using one of more programming languages Python, Java /or Scala.
• Good understanding of different data modelling techniques and trade-off
• Knowledge of NoSQL and RDBMS databases
• Have a collaborative and co-creative mindset with excellent communication skills
• Motivated to work in an environment that allows you to work and take decisions independently
• Experience in working with data visualization tools
• Fluent in English both written and verbal

Advantage if you also have:

• Experience in data processing framework – Beam, Spark, Hive, Flink
• Business understanding of retail industry

Required cloud certification: Not Applicable

Job Overview

• Location : Stockholm, Sweden
• Vacancy : 1
• Key Skills : GCP/any Cloud, Dataflow, Dataproc and Bigquery, SQL, Python, Java /or Scala, data visualization tools

• Take end-to-end responsibility to build, optimize and support of existing and new data products towards the defined target vision
• Be a champion of DevOps mindset and principles and able to manage CI/CD pipelines and terraform as well as Cloud infrastructure, in our context, it is GCP (Google Cloud Platform).
• Ensure that our built data products work as independent units of deployment and non-functional aspects of the data products follow the defined standards for security, scalability, observability, and performance.
• Work close to the Product Owner and other stakeholders around vision for existing data products and identifying new data products to support our customer needs
• Work with product teams within and outside our domain around topics that relate to the data mesh concept.
• Evaluate and drive continuous improvement and reducing technical debt in the teams
• Maintain expertise in latest data/analytics and cloud technologie