Arbetsbeskrivning

Assignment – Data Engineer with Expertise in GCP, DevOps, and Data Mesh Architecture

We are seeking a skilled and proactive Data Engineer to play a central role in designing, delivering, and maintaining scalable data products in a modern cloud-native environment. This assignment places you at the heart of a cross-functional team working end-to-end on data solutions using Google Cloud Platform (GCP), with a strong focus on automation, infrastructure-as-code, and data mesh principles.

This role is ideal for someone who thrives on ownership, embraces DevOps culture, and enjoys working with the latest technologies to enable data-driven decision-making at scale.

Key Responsibilities

✅ Product Development & Lifecycle Management

• Design, build, and maintain high-performing data products aligned with architectural and business goals
• Ensure non-functional requirements such as security, observability, scalability, and performance are embedded from the start
• Manage the full lifecycle of data products from discovery and development through monitoring and maintenance

✅ Infrastructure & DevOps

• Set up and operate robust CI/CD pipelines and maintain infrastructure using Terraform or equivalent tools
• Operate and optimize core GCP services including BigQuery, Dataflow, and Dataproc
• Proactively ensure the reliability, performance, and cost-efficiency of data pipelines and infrastructure

✅ Collaboration & Strategic Alignment

• Work closely with Product Owners, business stakeholders, and development teams to translate ideas into actionable data solutions
• Contribute to the implementation of data mesh concepts across teams and domains
• Provide technical guidance and drive consistency across internal and external collaborators

✅ Continuous Improvement & Innovation

• Monitor system health, reduce technical debt, and improve operational efficiency
• Stay informed on trends in cloud data engineering, analytics, DevOps, and automation
• Advocate for clean, maintainable, and future-proof data architecture

Required Qualifications

• 4+ years of experience as a Data Engineer working in Google Cloud Platform
• Hands-on experience with BigQuery, Dataflow, Dataproc, and DBT
• Proficiency with data formats such as Avro and Parquet
• Strong SQL skills and experience in one or more programming languages (e.g., Python, Java, Scala)
• Familiarity with both relational and NoSQL databases
• Demonstrated experience with CI/CD, automation, and infrastructure-as-code (e.g., Terraform)
• Excellent communication skills and a collaborative, solution-oriented mindset

Nice-to-Have Skills

• Knowledge of Apache Beam, Spark, Hive, or Flink
• Experience in the retail domain or with data visualization tools
• Familiarity with real-time data processing and streaming architectures

This is a 100% hands-on engineering role in a modern, agile, and product-driven environment. You’ll be empowered to make technical decisions and contribute meaningfully to long-term data strategies.

About Rasulson Consulting

Rasulson Consulting is a specialized staffing and recruitment firm focused on the IT sector. We collaborate with leading tech companies and innovative startups to provide exciting career opportunities for individuals passionate about digital development. With our deep technical expertise and extensive network, we efficiently match the right talents with the right assignments. At Rasulson Consulting, you’ll receive personalized guidance, regular feedback, and the chance to take the next step in your IT career.