SCON |Python + Data Integration(SIA) | Helsinki
Infosys Consulting - Location not specified
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified checked Jun 7, 2026
- Salary
- Not verified
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Company stage
- Public-company From the posting source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
SCON |Python + Data Integration(SIA) | Helsinki Technology - Python, SQL, Unix, familiarity with ETL and data integration Location - Helsinki, Finland Business Unit - ENGNE Compensation - Competitive (including bonus) Job Description We are looking for a skilled Software Developer with at least 3 years of experience in building data-driven applications and integration solutions. The ideal candidate will have strong expertise in modern data storage and retrieval systems, advanced SQL, Python, and ETL frameworks, along with experience working in Unix/Linux environments. This role focuses on developing scalable backend services, building robust data pipelines, and enabling seamless system integration across enterprise platforms. Exposure to telecom domain systems and datasets is beneficial but not mandatory. Key Responsibilities Application Development - Design, develop, and maintain scalable applications for data processing and integration. - Develop backend services using Python and integrate with web-based presentation layers. - Write clean, maintainable, and performance-optimized code. Data Engineering & Query Optimization - Develop and optimize complex SQL queries for large-scale datasets. - Work with modern relational and non-relational databases. - Ensure high performance, scalability, and data integrity. ETL & Data Integration Design and implement ETL pipelines for data ingestion, transformation, and delivery. Integrate systems using: - SFTP (file-based integration) - APIs (REST/SOAP) - Kafka (real-time streaming) Troubleshoot and optimize data pipelines and integrations. Scripting & Unix Operations - Develop automation scripts for data workflows and system operations. - Work within Unix/Linux environments for monitoring, scheduling, and troubleshooting. Web & Data Presentation - Support integration of backend services
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