Senior Data Engineer responsible for building and optimizing data pipelines for banking analytics initiatives. Collaborating with data teams to ensure data quality and readiness for enterprise use.
About the role
- Senior Data Engineer at Goodwin enhancing data platforms and fostering data-driven culture across teams. Collaborating with IT and Finance on technology solutions and data governance practices.
Responsibilities
- Manage, evaluate, and enhance our existing finance-related data platforms, identifying opportunities to leverage emerging technologies and cloud-based solutions.
- By modernizing our data infrastructure, we can improve scalability, accessibility, turnaround times, and security, paving the way for advanced analytics and driving data-based insights.
- Contribute to the establishment of standards and procedures for data governance, integration, quality management, and lifecycle management.
- By optimizing these processes, we will ensure data consistency, accuracy, and timeliness, enabling reliable decision-making across the organization.
- Collaboration: Evaluate, enhance, and modernize the Firm’s data platforms, including exploring emerging technologies and cloud-based solutions to improve scalability, accessibility, and security.
- Contribute to establishing and optimizing standardized procedures for data management, data governance, data integration, quality management, and lifecycle management to ensure data consistency, accuracy, and timeliness.
- Collaborate with cross-functional teams, business units, and senior management to drive data-driven initiatives, foster a data-driven culture, and ensure alignment with organizational goals.
- Monitor and optimize enterprise data platforms and data engineering processes, identify areas for improvement, and drive innovation to enhance data processing efficiency, data quality, and overall system performance.
Requirements
- Bachelor’s degree in Computer Science or a related field is preferred.
- Five or more years of experience in a senior data engineering or database architecture role.
- Industry-recognized database or cloud platform certifications are a plus.
- Experience working with cloud-based data platforms and services, such as Snowflake or Microsoft Fabric.
- Advanced SQL development and modeling skills, including associated tools.
- Strong experience designing, building, and maintaining data integration and ETL/ELT pipelines to support creation of data warehouse and analytical data models.
- Working knowledge of Python for data engineering and automation.
- Proven experience with relational database management systems and related data technologies.
- Experience integrating with APIs and working with structured and semi-structured data formats such as (e.g. JSON and XML).
- Experience using Git or similar tools for source control and version management.
- Experience working in an Agile development environment.
- Experience with database performance monitoring and tuning.
- Familiarity with AI and large language model technologies.
- Ability to work independently and collaborate effectively in team environments
- Excellent organizational, customer service, and problem-solving skills.
Benefits
- Health, dental, and vision insurance
- Life and disability insurance
- Retirement & Savings Plan
- Emergency back-up child and adult care
- Paid vacation, sick time off, and holidays
- Professional development and career advancement opportunities
- Employee recognition and reward programs
- Employee wellness and assistance programs
- Employee discounts and perks
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Senior Data Engineer developing scalable data solutions on Databricks for analytics and operational workloads. Collaborating with cross - functional teams to modernize the data ecosystem.
Data Engineer focused on analytics and data pipeline development for network optimisation. Collaborating with teams to deliver high - quality data solutions with Python and SQL.
Senior Product Manager defining platform capabilities for Data Cloud in Salesforce. Collaborating with R&D teams while shaping product strategy for Data 360 integration.
Director, Data Platform Design and Strategy at MedImpact leading data platform and AI innovations to enhance healthcare services. Overseeing enterprise projects and managing teams to meet strategic goals.
Data Engineer delivering AI - and data - driven solutions for Honeywell’s industrial customers. Architecting and implementing scalable data pipelines and platforms focused on IoT and real - time data processing.
Data Engineering Associate focusing on data quality control and management for distribution platform. Collaborates on large scale data projects to ensure data accuracy and availability for users.
Data Architect managing enterprise data platform built on Microsoft Fabric at Johnstone Supply. Leading architectural standards and collaborating with business and IT leaders for strategic data - driven insights.
Data Engineer at Studyportals responsible for data pipelines and infrastructure. Join a team ensuring accurate and trustworthy data for analytics and business decisions.
AI/ML Engineer designing and refining prompts and workflows using large language models. Responsible for developing data pipelines and delivering scalable AI solutions in a hybrid work environment.