Senior Python Developer & Data Engineer
Quick Summary
10+ years of professional software engineering and data engineering experience. Strong Python development experience with continuous hands-on use of Python and PySpark during the last 2-3 years.
The work location
Accenture is a leading global professional services company that helps the world’s leading businesses, governments, and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services. We offer solutions and assets across Strategy & Consulting, Technology, Operations, Industry X, and Accenture Song.
At the Data & Applied Intelligence hub, we work locally and globally with over 250 Poland-based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with technology partners including Microsoft, AWS, Google, Oracle, and Snowflake to deliver modern data and analytics solutions. We provide comprehensive support from strategy definition to solution implementation and development across the Data & Analytics landscape.
- Design and develop strategic cloud-based data solutions that support enhanced counterparty risk and client margining processes within the Prime Brokerage domain.
- Build and optimize ETL pipelines using Python and PySpark, demonstrating a commitment to constant progress and continuous learning while improving data quality, ingestion, and reporting capabilities.
- Collaborate with business stakeholders to translate complex requirements into implementable deliverables, applying a forward-thinking and growth-driven approach to solution design.
- Develop and support Azure-based data platforms leveraging Databricks, ADLS, and Azure Key Vault, while being motivated to embrace new opportunities in cloud technologies and automation.
- Contribute to CI/CD initiatives, agile delivery practices, and operational excellence through GitLab, Unix environments, Shell scripting, and database technologies.
- Work on a strategic data platform initiative supporting risk management transformation from T+2 to T+1 processing.
- Expand your expertise in cloud-native data engineering, advanced analytics, and large-scale distributed processing within an international environment.
- Gain exposure to modern Azure technologies, data platform architecture, and automation initiatives that support professional growth and ongoing improvement.
- Collaborate with experienced engineers, architects, and business stakeholders, receiving insights and feedback that help you evolve your skills.
- Contribute to a team environment that values knowledge sharing, innovation, and continuous development.
- 10+ years of professional software engineering and data engineering experience.
- Strong Python development experience with continuous hands-on use of Python and PySpark during the last 2-3 years.
- Previous development experience using Java and/or C#.
- Hands-on experience designing and developing ETL and data processing solutions, including data cleansing, ingestion, transformation, loading, and reporting.
- Experience working on Unix/Linux platforms, including file operations, permissions management, environment configuration, and data analysis.
- Experience with Shell scripting, Autosys, and Oracle databases.
- Proven ability to transform business requirements into actionable technical solutions and delivery plans.
- Experience with GitLab CI/CD pipelines and software delivery practices.
- Good understanding of SDLC within Agile delivery models.
- Strong knowledge of Azure services, including ADLS, Azure Key Vault, and Databricks.
- Professional communication skills in English.
Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application.
Nice to Have
~1 min read- Experience within Prime Brokerage, counterparty risk, margining, or post-trade risk management domains.
- Experience building cloud-native data platforms in financial services environments.
- Practical experience using AI-powered development tools such as GitHub Copilot.
- Experience creating AI agents or automation solutions that support engineering
Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application.
What We Offer
~1 min readVisit us at www.accenture.com
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Location & Eligibility
About this job
- Posted
- 5 days ago
Listing Details
- Posted
- October 10, 2026
- First seen
- October 15, 2026
- Last seen
- October 15, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 32%
- Scored at
- October 15, 2026
Signal breakdown
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