Senior Analytics Engineer

This is a fully remote position, open to applicants in Europe.

📋 Description

• Take charge of the entire data lifecycle, encompassing ingestion, transformation, modeling, analysis, and reporting.

• Design, construct, and sustain dependable pipelines that integrate external data into the cloud data warehouse.

• Create, test, document, and uphold scalable data models.

• Convert intricate datasets into dashboards, reports, and actionable business insights.

• Safeguard data integrity and reliability from source systems to final reporting.

• Adhere to version control, conduct code reviews, implement automated testing, CI/CD, and follow controlled deployment protocols.

• Utilize AI coding agents while ensuring accountability for code quality and readiness for production.

• Work in collaboration with business stakeholders to transform vague requirements into technical solutions.

• Convey priorities, trade-offs, and recommendations effectively.

• Enhance data workflows, system performance, and overall reliability of the data platform.

• Independently manage business requirements from their inception to production deployment.

• Report to the CTO within the Data Platform team.

⛳️ Requirements

• Over 5 years of experience in developing data pipelines and data models in contemporary cloud-based data settings.

• Proficient in SQL and possess strong expertise in data modeling.

• Solid Python programming abilities for data ingestion, automation, and pipeline development.

• Practical experience with workflow orchestration tools and scheduled data pipelines.

• Experience in creating dashboards, reports, and analytical solutions utilizing modern BI tools.

• Strong grasp of Git, code reviews, automated testing, and CI/CD processes.

• Hands-on experience with AI coding agents and assessing AI-generated outputs.

• Capability to independently oversee projects from the requirements gathering phase to production deployment.

• Excellent problem-solving abilities and meticulous attention to detail.

• Outstanding communication skills with both technical and non-technical stakeholders.

• Preferred: Experience with Infrastructure as Code and cloud infrastructure management.

• Preferred: Familiarity with identity resolution and Master Data Management.

• Preferred: Understanding of data governance, PII handling, and data masking.

• Preferred: Experience in optimizing cloud data warehouse performance and managing infrastructure costs.

🏝️ Benefits

• Engage in impactful work on significant data initiatives.

• Access to modern cloud technologies, advanced data engineering tools, and AI-driven development solutions.

• Enjoy autonomy and ownership in independently scoping, developing, and delivering solutions.

• Be part of a collaborative, supportive, and technically focused team environment.

• Experience professional growth through challenging projects, ongoing learning, and exposure to emerging technologies.

• Work in an environment that prioritizes clean code, reliable data, structured delivery processes, and continuous improvement.