Senior Data Engineer for global payments platform designing ETL pipelines and data models. Collaborating across teams to tackle complex data challenges in an innovative fintech environment.
About the role
- Data Engineer transforming data for analysis in an insurance company. Responsible for building data infrastructures and optimizing data delivery.
Responsibilities
- Build the infrastructure required for optimal extraction and transformation from a wide variety of data sources.
- Build and optimize ‘big data’ pipelines, architectures, and datasets to be used across the organization.
- Understand and translate complex business priorities into clearly defined technical/data specifications for implementation.
- Support other team members on data initiatives and ensure optimal data delivery architecture consistency throughout ongoing projects.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Implement processes and systems by coding, testing, and debugging to monitor data quality, and ensure accuracy of production data.
- Collaborate with analytics and business teams to improve data models that feed business intelligence tools to increase data accessibility and fostering data-driven decision making across the organization.
- Work closely with business architecture, IT, and analytic teams to help implement an end-to-end data strategy from data ingest to output into business tools.
- Work with Modeling Analyst to data mine and extract key identifiers coming from unstructured, free format datasets.
- Collaborate across multiple business functions to combine several aspects (such as rating and competition) of predictive modeling results into one analytical dashboard.
- Expand knowledge in multiple programming languages and software.
- Monitor developments in data transformation and storage to remain current with respect to new approaches and methods utilized within the data science industry.
- Complete internal and external coursework to further develop programming skills and business knowledge.
- Other duties as assigned.
Requirements
- Bachelor’s degree in computer science, statistics, math, or related field or equivalent combination of education and experience.
- 2 years of experience in a data science and/or programming related field.
- Work experience with relational databases and query authoring.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- Experience developing data pipelines for warehouses/lakes.
Benefits
- Equal Opportunity Employer
Job title
Job type
Experience level
Salary
Degree requirement
Location requirements
Senior Data Engineer for the MDM Data Product Team at Avenga. Responsible for provisioning data from master data customer and product systems.
Data Warehouse Modelling Engineer designing and maintaining data models using Data Vault 2.0 for iGaming industry. Collaborating with stakeholders and optimizing data models in a hybrid work environment.
Senior Data Engineer driving impactful data solutions for the climate logistics startup HIVED's core data platform. Collaborating with cross - functional squads to enhance analytics and delivery.
Data Engineer developing and maintaining CRE forecasting infrastructure for Cushman & Wakefield. Collaborates with senior economists and technical teams to ensure high - quality data solutions.
Data Engineer at PwC, engaging with Azure cloud services to enhance data handling and integrity. Responsibilities include pipeline optimizations, documentation, and collaboration with stakeholders.
Data Engineer Manager at PwC focusing on building data infrastructure and solutions. Leading data engineering projects to transform raw data into actionable insights and drive business growth.
Junior Data Engineer at OneMarketData focusing on data quality and integrity in financial datasets. Collaborating with senior analysts and assisting in data management and analysis tasks.
Data Engineer Manager leading robust data solutions for PwC's clients. Transforming raw data into actionable insights and coaching team members.
Senior Data Engineering Analyst developing and implementing data solutions. Collaborating in a diverse environment focused on data processing and analysis for clients' digital transformation.