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Senior Data Integration Engineer
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingDirect the architecture and ongoing refinement of data integration solutions
Mentor team members and promote sound data engineering practices
Turn business stakeholder requirements into practical technical approaches
Monitor data pipeline reliability and catch problems before they spread downstream
Help plan and prioritize technical delivery against project schedules
From the employer’s posting
Direct the architecture and continuous refinement of data integration solutions
Provide mentorship and guidance to team members, promoting sound practices and dependable quality throughout data engineering efforts
Work in close partnership with business stakeholders to convert their requirements into practical, effective technical approaches
Monitor the reliability and stability of data pipelines, catching and addressing problems before they affect processes further downstream
Play a role in planning and prioritization work, helping keep technical delivery in sync with wider project schedules and objectives
What you’ll bring
All qualificationsCore experience
- At least 3 years of data warehouse work
- Experience building and maintaining data pipelines in Azure Data Factory
- Experience delivering Power BI business intelligence solutions
- Strong SQL skills in MS SQL Server and Oracle PL/SQL
- Fluent English at B2 level or higher
Qualification wording
At least 3 years of applicable background working on Data Warehouse initiatives
Background designing, constructing, and sustaining data pipelines through Azure Data Factory
Experience delivering and integrating business intelligence solutions by way of Power BI
Strong command of query languages, including MS SQL Server and Oracle PL/SQL
Fluent English communication skills at a B2 level or higher
Tools in this posting
- SQL
- Azure
- dbt
- Oracle
- Power BI
- Snowflake
- SQL Server
Source — Tool mentions in context
Our team is looking to bring on board a highly capable Senior Data Integration Engineer. This position plays a crucial part in making sure data moves dependably between systems so that sound business decisions can be made. You'll operate in a team-based atmosphere where technical guidance and practical troubleshooting work together closely. This represents a valuable chance for someone eager to leave a real mark on how data shapes the organization's achievements Responsibilities Direct the architecture and continuous refinement of data integration solutions that keep pace with shifting business needs Provide mentorship and guidance to team members, promoting sound practices and dependable quality throughout data engineering efforts Work in close partnership with business stakeholders to convert their requirements into practical, effective technical approaches Monitor the reliability and stability of data pipelines, catching and addressing problems before they affect processes further downstream Play a role in planning and prioritization work, helping keep technical delivery in sync with wider project schedules and objectives Requirements At least 3 years of applicable background working on Data Warehouse initiatives Background designing, constructing, and sustaining data pipelines through Azure Data Factory Experience delivering and integrating business intelligence solutions by way of Power BI Demonstrated skill in refining pipeline and transformation code on an ongoing basis to boost performance, scalability, and maintainability Capacity to grasp business requirements tied to data initiatives and convert them into workable technical solutions Background using front-end tools such as Power BI, Azure Analysis Services (AAS), and Tabular Models Working knowledge of management tools and approaches, including JIRA, Agile methodology, and ServiceNow Practical experience with ETL tools, specifically Azure Data Factory and Azure Synapse Strong command of query languages, including MS SQL Server and Oracle PL/SQL Fluent English communication skills at a B2 level or higher Nice to have Background working with Azure Synapse Analytics to support data warehousing and analytics needs Exposure to Salesforce Informatica, Snowflake, and dbt for handling data integration and transformation tasks
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 4, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
EPAM Systems is hiring
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Has EPAM Systems posted this job before?
Yes. We’ve followed 23 other Senior Data Integration Engineer jobs there since November 2026. All 23 are still up.
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Job description
Our team is looking to bring on board a highly capable Senior Data Integration Engineer. This position plays a crucial part in making sure data moves dependably between systems so that sound business decisions can be made. You'll operate in a team-based atmosphere where technical guidance and practical troubleshooting work together closely. This represents a valuable chance for someone eager to leave a real mark on how data shapes the organization's achievements Responsibilities Direct the architecture and continuous refinement of data integration solutions that keep pace with shifting business needs Provide mentorship and guidance to team members, promoting sound practices and dependable quality throughout data engineering efforts Work in close partnership with business stakeholders to convert their requirements into practical, effective technical approaches Monitor the reliability and stability of data pipelines, catching and addressing problems before they affect processes further downstream Play a role in planning and prioritization work, helping keep technical delivery in sync with wider project schedules and objectives Requirements At least 3 years of applicable background working on Data Warehouse initiatives Background designing, constructing, and sustaining data pipelines through Azure Data Factory Experience delivering and integrating business intelligence solutions by way of Power BI Demonstrated skill in refining pipeline and transformation code on an ongoing basis to boost performance, scalability, and maintainability Capacity to grasp business requirements tied to data initiatives and convert them into workable technical solutions Background using front-end tools such as Power BI, Azure Analysis Services (AAS), and Tabular Models Working knowledge of management tools and approaches, including JIRA, Agile methodology, and ServiceNow Practical experience with ETL tools, specifically Azure Data Factory and Azure Synapse Strong command of query languages, including MS SQL Server and Oracle PL/SQL Fluent English communication skills at a B2 level or higher Nice to have Background working with Azure Synapse Analytics to support data warehousing and analytics needs Exposure to Salesforce Informatica, Snowflake, and dbt for handling data integration and transformation tasks
Source details
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