Senior Data Ops and Service Programmer

We are seeking a highly skilled Senior Data Ops and Service Programmer to join our team. The ideal candidate will have extensive hands-on experience working with various databases and use their expertise to help us create a more future-proof and scalable data infrastructure. We need someone who can ramp up on our current self-hosted systems, suggest improvements, and lead projects and teams.

This role is an exciting opportunity to shape the future of our data infrastructure while working in a collaborative and evolving environment. If you are a proactive, solutions-oriented data engineer with a passion for optimizing databases, ensuring data integrity, and guiding teams toward success.

RESPONSIBILITIES

• Maintain and optimize existing databases, including version updates, performance tuning, hardware upgrades, and monitoring. Design, develop, and maintain robust data pipelines for data ingestion and processing.
• Manage self-hosted database solutions, focusing on performance for large-scale data analysis and efficient data warehousing.
• Integrate data from various sources, ensuring high data quality and consistency.
• Ensure compliance with government policies and processes related to data security, privacy, and GDPR regulations.
• Collaborate with data scientists, analysts, and other teams to understand data requirements and develop scalable solutions.
• Provide insights into database architecture and recommend improvements that align with business needs and future scalability.
• Adapt to team needs and organizational restrictions to support evolving data strategies.
• Lead project initiatives, manage timelines, and coordinate cross-functional teams.
• Other duties as required.

REQUIREMENTS

• 5+ years of industry experience.
• Experience with working in large code bases.
• Experience with database management systems such as PostgreSQL, MongoDB, and other relational and NoSQL databases.
• Experience with setting up, managing, and optimizing self-hosted databases.
• Strong proficiency in SQL and experience working with Linux/Unix environments.
• Hands-on experience with ETL orchestration tools such as Dagster or Airflow.
• In-depth knowledge of data warehousing concepts and relational data modeling.
• Experience managing projects and teams, including setting timelines, tracking progress, and ensuring deliverables.
• Demonstrated ability to lead and mentor teams, with a focus on collaboration and knowledge sharing.