Job description

About Recruitbyme

Recruitbyme is a company that helps our clients in the areas; recruitment, staffing and training, we are headquartered in pleasant premises at Teknikparken in Gävle and work with assignments all over the country. The company was founded in 2021 by Mats Andersson, who has over 20 years of experience in the above areas.

Climate-smart

When it comes to working with sustainability, we take responsibility for reducing global warming, which means that we use climate-smart transport trips to reduce our climate footprint, and that we ensure that all our meetings take place digitally, we work towards the global goals 3, 5, 8, 13 and 16.

Inclusion

Recruitbyme also works with inclusion in all our appointments and sees the unique core competence behind CV.et We simply call it competence-focused inclusion, which does not take into account aspects such as age, gender, ethnicity or sexual orientation.

About The Employment

For this assignment, you will be hired out via Recruitbyme to our partner and its end customer. Which means that you will be employed by us and we take full employer responsibility.

Job Description:

We are seeking a talented and motivated Data Engineer to join our endcustomer Segmentation project team within the BT-TM-AIAD Segmentations department. The successful candidate will work on developing and maintaining our data architecture to support various initiatives, ensuring data quality, and adopting data mesh capabilities. This role is crucial to our One Data Foundation Initiative and other prioritized projects like BTI-292, BTI-146, BTI-147, and BTI-260.

Key Responsibilities:

  • Development of SADP and IDPs: Create and manage scalable and efficient data pipelines and infrastructure.
  • Ensuring Data Quality: Implement data quality checks and processes to maintain high data standards.
  • Adopting Data Mesh Capabilities: Integrate and support data mesh architecture to enhance our data ecosystem.


Required Technical Skills:

  • Strong GCP Skills: Proficient with Google Cloud Platform services, understanding their use cases and cost implications.
  • Data Warehouse Concepts: Expertise in data warehousing, SQL, and related concepts.
  • Programming Languages: Proficiency in Python.
  • Data Build Tool (DBT): Experience with DBT for data transformation.
  • Infrastructure as Code: Knowledge of Terraform for infrastructure management.


Leadership/Experience Level:

  • Mid Senior to Senior Data Engineer: We are open to evaluating both mid-level and senior candidates to find the best fit for our client.


Required Cloud Certification:

  • Google Cloud or other Cloud Engineering Certification: Must possess relevant cloud certifications.


Work Environment:

  • Remote Work: Allowed up to 50% of the time, providing flexibility and work-life balance.


Language: Enlish on expert level

Timeperiod

Augusti - december 2024

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