Data Engineer

Bytespoke; Stockholms kommun; On-site; SEK 600,000 - 800,000; Full time

Job summary

Bytespoke in Stockholm is seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics and data-driven decision-making. The ideal candidate should have proven experience with large datasets and cloud platforms.

The role includes responsibilities such as developing ETL/ELT pipelines, optimizing data architectures, and collaborating with business stakeholders on data requirements. Strong proficiency in SQL and familiarity with big data technologies are essential for this position.

Qualifications

• Proven experience as a Data Engineer or in a similar role.
• Hands-on experience with ETL/ELT tools and frameworks.
• Strong proficiency in SQL and database design.

Responsibilities

• Design and maintain robust ETL/ELT pipelines.
• Build and optimize data architectures, databases, and warehouses.
• Ensure data quality, consistency, and reliability.

Skills

SQL proficiency

Cloud platforms experience

ETL/ELT tools

Data modeling

Python proficiency

Big data technologies

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field

Tools

AWS

Azure

Google Cloud Platform

Airflow

Job description

We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics, reporting, and data-driven decision-making across the organization. The ideal candidate will have experience working with large datasets, cloud platforms, ETL/ELT processes, and modern data technologies.

Key Responsibilities

• Design, develop, and maintain robust ETL/ELT pipelines.
• Build and optimize data architectures, databases, and data warehouses.
• Integrate data from multiple sources and ensure data quality, consistency, and reliability.
• Develop and maintain scalable data processing systems for structured and unstructured data.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
• Monitor, troubleshoot, and improve data pipeline performance.
• Implement data governance, security, and compliance standards.
• Create and maintain technical documentation for data systems and processes.
• Support reporting, business intelligence, and advanced analytics initiatives.
• Automate data workflows and optimize data storage solutions.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in SQL and database design.
• Experience with Python, Java, Scala, or similar programming languages.
• Hands-on experience with ETL/ELT tools and frameworks.
• Knowledge of data warehousing concepts and technologies.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Familiarity with big data technologies such as Spark, Hadoop, Kafka, or Databricks.
• Understanding of data modeling, data governance, and data security best practices.

Preferred Qualifications

• Experience with modern data orchestration tools such as Airflow.
• Knowledge of CI/CD practices and DevOps methodologies.
• Experience working in Agile environments.
• Relevant cloud or data engineering certifications.