Jobgether
Data Engineer (Databricks) | SR
Accountabilities:
- Collaborate with data engineering teams to understand business and technical requirements, translating them into efficient and scalable data solutions.
- Develop, maintain, and optimize data pipelines and platforms using Azure, Databricks (PySpark), Python, Data Lake architectures, and SQL.
- Implement data processing and transformation logic using Python, including Pandas for structured data analysis and ElementTree for XML manipulation and integration of heterogeneous data sources.
- Ensure system availability, stability, and performance by monitoring, troubleshooting, and continuously evolving data solutions in production environments.
- Support data security, governance, and compliance requirements through automation, proactive management, and continuous improvement practices.
- Implement data quality controls, testing frameworks, and monitoring strategies to ensure integrity and reliability of data assets.
- Maintain comprehensive technical documentation for developed processes, architectures, and solutions.
- Provide production support, including corrective actions and change management (CHG) follow-up to ensure smooth operational delivery.
- Solid experience with SQL (including regex usage), Databricks, PySpark, and Python for data engineering and analytics workflows.
- Strong knowledge of data manipulation techniques, especially text processing and regular expressions for complex data parsing.
- Experience with SQL data modeling and foundational understanding of distributed computing concepts.
- Hands-on experience working with Data Lake architectures and large-scale data environments.
- Ability to operate in high-responsibility production environments, including on-call availability after business hours and weekends when required.
- Strong problem-solving mindset, attention to detail, and ability to work in collaborative, fast-paced engineering teams.
- Experience with cloud data platforms (particularly Azure) and modern data engineering practices is highly valued.
- Competitive compensation package aligned with senior-level expertise
- Opportunity to work on large-scale, cloud-native data platforms using cutting-edge technologies
- Exposure to advanced AI, data engineering, and digital transformation initiatives
- Flexible work arrangements depending on project and team structure
- Career development opportunities within a global, innovation-driven environment
- Access to modern tooling and AI-assisted engineering ecosystems
- Collaborative and highly technical work culture focused on continuous learning and impact.
Requirements
Benefits
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services
Data Engineer