Lead Data Engineer

Job Title: Data Engineer ( DATA ENGINEERING | DATA MODELING | PERFORMANCE) Location: Remote & hybrid, alternating weeks at the nearest office Duration: 4 months+ contract Number of Positions: 2 roles Responsibilities: DATA ENGINEERING | DATA MODELING | PERFORMANCE Senior Data Engineer Enterprise Data Engineering | Senior Technical Delivery Role ROLE OVERVIEW This role is intended for an experienced Senior Data Engineer with 11-15 years of hands-on experience in Data Engineering, Data Modeling, ETL Development, SQL Development, and Data Analysis within large-scale enterprise environments. The role focuses on business data analysis, data modeling, ETL development, advanced SQL, performance tuning, data quality, and the delivery of scalable and maintainable data solutions. The Role We are seeking an experienced Senior Data Engineer with strong capabilities in data analysis, data modeling, ETL development, advanced SQL, and performance optimization. The role focuses on designing, developing, and supporting scalable data solutions that enable business outcomes and improve data accessibility, quality, and reliability. The Value You Deliver

• Work within Agile teams to deliver scalable and reliable data solutions.
• Build and maintain robust ETL and data integration processes.
• Analyze business data requirements and translate them into effective data solutions.
• Develop and optimize SQL and data-processing workloads.
• Modernize and simplify data ecosystems through practical engineering solutions.
• Investigate and resolve data, integration, and processing issues.
• Document technical solutions, data flows, and implementation approaches.

Key Responsibilities

• Design, develop, test, and support ETL and data integration solutions.
• Perform data analysis, data profiling, data validation, and data quality assessments.
• Design and maintain logical and physical data models supporting operational and analytical needs.
• Develop advanced SQL for transformation, reconciliation, aggregation, and reporting workloads.
• Optimize data-processing performance and troubleshoot bottlenecks.
• Collaborate with business and technology stakeholders across the delivery lifecycle.

The Expertise and Skills You Bring (Must have skills)

• 11-15 years of experience in Data Engineering, Data Modeling, ETL Development, SQL Development, and Data Analysis within large-scale enterprise environments.
• Experience in business data analysis and translating business requirements into scalable data solutions.
• Strong experience in data modeling, ETL development, and data integration.
• Advanced SQL development and performance tuning expertise.
• Experience in high-volume data processing and large-scale data environments.
• Strong data quality, validation, and troubleshooting skills.
• Experience investigating and resolving production and non-production data issues.
• Strong problem-solving and stakeholder collaboration skills.
• Experience working within Agile delivery environments.

Senior Data Engineer | Job Description | 1 Nice to have skills

• Experience with AI/ML-related data initiatives.
• Experience with API development and integrations.
• Experience with BI and analytics platforms.
• Financial services or other data-intensive industry experience.

Role Expectations

• Demonstrate strong hands-on data engineering capabilities.
• Translate business requirements into scalable and maintainable data solutions.
• Design and support robust ETL and data-processing workflows.
• Optimize performance across complex data workloads.
• Contribute to analysis, design, development, testing, deployment, and support activities.
• Partner effectively with business and technology stakeholders.

Success Criteria Success will be defined by the ability to analyze business data requirements, design and develop scalable data solutions, deliver robust ETL and data-processing capabilities, optimize performance across complex data workloads, and consistently provide high-quality, reliable, and maintainable solutions that support business objectives and enterprise data strategy.

For applications and inquiries, contact:View email address on us.fitly.work