Senior Data Engineer (JT)

• ETL Pipeline Development: Develop, optimize, and maintain ETL pipelines to efficiently extract, transform, and load data from various sources, ensuring high data quality.
• Monitor and troubleshoot production data pipelines, ensuring their performance and reliability.
• Mentor junior engineers and lead technical discussions to drive best practices and innovation within the team.
• Stay up to date with the latest trends and technologies in data engineering and recommend solutions to improve data processing capabilities.
• Query Optimization & Data Transformation: Write and optimize SQL queries, ensuring data integrity, performance, and scalability, using best practices and techniques
• Data vault Model implementation: Implement flexible Data vault model in Snowflake to support large-scale analytics and business intelligence.
• Cross-Team Collaboration: Collaborate with Data Engineers, Product Managers, and Data Scientists to deliver solutions that support data-driven insights and innovation.
• Stakeholder Engagement: Engage with business stakeholders to understand requirements and translate them into technical solutions that add value.
• Data Quality & Governance: Implement and enforce data governance and quality processes, ensuring accurate and consistent data flows across all systems.
• Cloud & Infrastructure Support: Work with cloud platforms such as AWS/Azure and DBT with Snowflake to build and maintain scalable data solutions.
• Continuous Improvement: Proactively look for ways to improve data systems, processes, and tools, ensuring efficiency and scalability.
• Leadership & Collaboration:
• Serve as a technical leader and mentor data engineers.
• Partner with data scientists to productionize research models on Snowflake and AWS.
• Engage with product and business stakeholders to align AI solutions with enterprise strategy.

• Knowledge of Data Visualization Tools (such as MicroStrategy / Power BI)
• Experience with Terraform and Terragrunt for infrastructure as code
• Experience with Generative AI technologies
• Solid understanding of ETL/ELT processes, along with hands-on experience building and maintaining data pipelines using DBT, Snowflake, Python, SQL, Terraform and Airflow
• Experience in designing and implementing data products and solutions on cloud-based architectures.
• Experience working with cloud data warehouses and analytics platforms, such as Snowflake, and AWS/Azure
• Proficiency in using GitHub for version control, code collaboration and managing data engineering projects
• Expertise in implementing data governance frameworks in Alation, including data quality management and compliance with industry regulations.
• Effective Communication and Collaboration: Excellent communication skills for interacting with stakeholders,
• presenting technical concepts, and collaborating with cross-functional teams.
• Collaboration & Communication: Strong interpersonal skills with the ability to work cross-functionally with stakeholders, engineers, and analysts.
• SQL Proficiency: Expertise in writing complex SQL queries, query optimization, and database design for analytics.
• Problem-Solving & Analytical Thinking: Ability to think critically and solve complex problems, translating business requirements into actionable insights.
• Languages: Python (primary), SQL, Bash
• Cloud: Azure, AWS
• Tools: Airflow, DBT
• Data: Snowflake, Delta Lake, Redis, Azure Data Lake
• Infra & Ops: Terraform, GitHub Actions, Azure DevOps, Azure Monitor
• Confident English
• Candidate needs to be currently eligible to work in Hungary.

Tech People is a European provider of technical skills permanent recruitment and temporary contracting services for multiple industries.

Currently we are looking for

SENIOR DATA ENGINEER (JT)

Location: Budapest, XI. district, hybrid

Salary: competitive

Type of employment: contracting

Start: ASAP