About

• This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer (Snowflake) in Europe.
• We are seeking a Senior Data Engineer to design, build, and optimize high-performance data solutions on the Snowflake cloud platform. In this role, you will collaborate with cross-functional teams to transform complex datasets into actionable insights that drive strategic business decisions. You will lead the development of ETL pipelines, data models, and analytics solutions, ensuring efficiency, scalability, and reliability. The ideal candidate thrives in a fast-paced, innovative environment and has a passion for leveraging data to enhance customer engagement and operational performance. This is an exciting opportunity to work with modern data architectures and influence the data strategy across multiple products and teams.
• Accountabilities
• Design, implement, and maintain ETL pipelines and Snowflake-based data architectures for both batch and real-time processing.
• Optimize Snowflake database performance, including schema design, indexing, and query efficiency.
• Ensure data quality and integrity through rigorous testing, QA processes, and unit tests.
• Collaborate with analysts, engineers, and business stakeholders to translate complex data into actionable insights.
• Integrate Snowflake with customer engagement tools, enabling effective use of data for marketing automation and personalized campaigns.
• Provide technical guidance on Snowflake best practices, optimization techniques, and innovative data solutions.
• Bachelor’s degree in Computer Science, Information Technology, or equivalent experience.
• 5+ years of experience as a Data Engineer or Snowflake Developer.
• Strong proficiency in SQL, data modeling, and ETL processes (4+ years).
• Python experience (2+ years) for data transformations and analysis.
• Hands-on experience with Snowflake features such as Snowpipe, Data Sharing, and Secure Data Sharing.
• Familiarity with cloud platforms (AWS, Azure, Google Cloud) and data integration tools.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, capable of conveying complex data concepts to non-technical stakeholders.
• Ability to work independently and collaboratively in a fast-paced, remote-friendly environment.
• Experience in agency settings or client-facing roles is advantageous.

Preferred Qualifications

• Snowflake certification.
• Experience with other data warehousing solutions (Redshift, BigQuery).
• Knowledge of data visualization tools (Tableau, Power BI).
• Understanding of data governance and security best practices.
• Experience working in Scrum or Agile frameworks.
• Competitive salary and performance-based incentives.
• Fully remote work with flexible scheduling.
• Career growth opportunities and promotion pathways.
• Professional development budget for courses, certifications, and learning resources.
• Collaborative, international team environment.
• Team events, online/offline networking, and knowledge-sharing sessions.
• Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
• When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
• 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
• 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
• 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
• 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
• The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
• Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
• Thank you for your interest!
• #LI-CL1