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GCP Data Engineer

unlimited holidays - extra holidays - extra parental leave - long remote period allowed

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

United Kingdom

Offer summary

Qualifications:

Bachelor's degree in Computer Science/Computer Engineering or related field, Minimum 3 years experience with GCP services and programming languages (Golang, Python, Java), Strong understanding of data modeling, SQL, data warehousing, ETL, and data visualization tools.

Key responsabilities:

Design, implement, and maintain scalable data pipelines on GCP using various services and programming languages
Collaborate with data analysts/scientists to create appropriate solutions.
Ensure data integrity through validation mechanisms, monitor and optimize data workflows

absolutelabs. Scaleup https://absolutelabs.co/

51 - 200 Employees

See more absolutelabs. offers

Job description

This is a remote position.

We are an innovative consultancy in Retail Technology and Digital Transformation. We pride ourselves on being professional, agile, and innovative, driven by our goal of supporting our clients to embrace innovation, stay competitive, and remain modern. What sets us apart is our exceptional focus on Apparel, Fashion & Luxury, combined with our broad retail expertise and track record of success. Over the years, we have collaborated with renowned brands like Mulberry, Stella McCartney, Sweaty Betty, Kurt Geiger, Fenwick, and Clarks.

But that's not all. At Absolutelabs, we offer an invigorating work environment designed to foster growth and success. Picture yourself in a modern office setting with the flexibility to work from home on selected days. We believe in providing ample growth opportunities for our team members because your success fuels ours.

We are seeking a highly skilled GCP Data Engineer with a minimum of 3 years of experience in GCP to join our team. The ideal candidate should be proficient in GCP services such as Google Cloud Function, Cloud Run, Workflows, BigQuery, Cloud Storage, IAM, Golang/Python/Java, SQL, and Google APIs. The successful candidate will be responsible for designing, implementing, and maintaining complex data pipelines and workflows on GCP to support business intelligence and data analysis needs.

Key Responsibilities:

Design and implement scalable and reliable data pipelines and workflows on GCP using Google Cloud Function, Cloud Run, Workflows, BigQuery, Cloud Storage, IAM, Golang, SQL, and Google APIs.
Develop and maintain data processing scripts and tools using programming languages such as Golang, Python, or Java.
Work closely with data analysts and data scientists to understand their data requirements and design appropriate data solutions on GCP.
Ensure data quality, integrity, and consistency by implementing data validation and verification mechanisms.
Monitor data pipelines and workflows for performance, reliability, and availability and take necessary actions to address any issues.
Develop and maintain documentation for data pipelines, workflows, and data processing scripts.
Stay up to date with the latest GCP technologies and trends and propose new data solutions to improve our data infrastructure.

Requirements

Bachelors Degree in Computer Science/Computer Engineering, or a related field.
Minimum of 3 years of experience working with GCP services such as Google Cloud Function, Cloud Run, Workflows, BigQuery, Cloud Storage, IAM, Golang, SQL, and Google APIs.
Strong proficiency in at least one programming language such as Golang, Python, or Java.
Experience with data modeling, database design, and SQL.
Familiarity with data warehousing concepts, ETL, and data integration techniques.
Experience with data visualization and reporting tools such as Tableau or Looker is a plus.
Good understanding of software development lifecycle (SDLC) methodologies such as Agile, Scrum, or Kanban.
Excellent communication and collaboration skills.
Strong problem-solving and analytical skills.
Google Cloud certification in Data Engineer or related field is a plus.

Benefits

As part of our dynamic team, you'll enjoy exciting growth opportunities, supporting a positive work-life balance. And let's not forget the perks! Alongside a competitive salary, we offer a range of company benefits such as company events, a comprehensive pension plan, a referral program, sick pay, and the freedom to work from home.