Senior Python Developer & Data Engineer

Who we are

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.

The work

• 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.

Flexible: The work location for this role may include a mix of working remotely (most of the time), onsite at a client or in an Accenture office - depending on specific project circumstances. With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.

WHAT'S IN IT FOR YOU?

• 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.

Qualification

Here's what you'll need

• 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.

Bonus points if you have

• 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

WHAT WE OFFER?

• Permanent employment contract or B2B.
• Individual support of a People Lead and a specific path of professional development, as well as the possibility of a session with a Coach.
• A wide training package (soft, technical,
• Employee Assistance Program - legal, financial, and psychological consultations.
• Accenture employees eligible for the Employee Share Purchase Plan automatically become eligible for quarterly dividends if they own company shares.
• Paid employee referral program.
• Private medical care and life insurance.
• Access to the MyBenefit platform (including the Multisport card).