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About the Role

We are seeking a Senior Data Engineer with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment.

Responsibilities

• Design, build, and maintain scalable and robust data pipelines using SQL and Python, leveraging tools like Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow, and Pyspark.
• Lead the integration of complex data systems, ensuring data consistency and accuracy across multiple platforms.
• Implement CI/CD practices for data pipelines to improve efficiency and quality.
• Collaborate with data architects, analysts, and stakeholders to translate business requirements into technical solutions.
• Oversee and manage a team of data engineers, providing guidance and mentorship.
• Develop and enforce best practices in data governance, security, and compliance.
• Optimize data retrieval and develop dashboards and reports for business teams.
• Continuously evaluate new technologies and tools to enhance data engineering capabilities.

Requirements

• 3+ years of industry experience in data engineering.
• Strong technical proficiency in SQL, Python, and big data technologies.
• Expertise in building scalable data workflows using cloud-native orchestration tools and distributed data processing frameworks.
• Demonstrated experience with Infrastructure as Code tooling such as Terraform.
• Solid understanding of CI/CD principles and DevOps/DevSecOps practices.
• Proven leadership skills and experience managing data engineering teams.
• Excellent problem-solving skills and ability to work with ambiguity.
• Proficient in leveraging AI-assisted workflows to optimize task efficiency.
• Strong communication and interpersonal skills.
• Excellent understanding of data architecture involving data mesh, data lake, data warehouse, and data lakehouse.

Skills

• SQL
• Python
• Databricks
• Snowflake
• Azure Data Factory
• AWS Glue
• Apache Airflow
• Pyspark
• Infrastructure as Code (Terraform)
• CI/CD
• DevOps/DevSecOps
• AI-assisted workflows

Location

• Office

Work Type

• Hybrid

Experience Level

• Senior

Education Level

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

About the Company

• Artefact is a new generation data service provider specializing in data consulting and data-driven digital marketing.
• We transform data into business impact across the entire value chain of organizations.
• We have over 2000 employees across 26 offices focused on accelerating digital transformation.
• Our approach combines state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of experts.