Senior Data Engineer /Tech Lead

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 & Analytics solutions, supporting clients from strategy definition through implementation and development.

THE WORK:

• Lead the design and development of scalable data platforms, data lakes, and data warehouse solutions using Databricks, Python, Spark, Delta Lake, and DLT, while fostering a culture of learning across engineering teams.
• Architect and optimize high-volume batch and streaming data pipelines for near real-time analytics, demonstrating a commitment to constant progress and engineering excellence.
• Drive technical leadership, mentor engineers, and establish best practices for software development, automated testing, CI/CD pipelines, and GitLab-based delivery processes.
• Collaborate with stakeholders to rapidly prototype data solutions, embrace challenges as opportunities, and evolve prototypes into production-ready platforms with strong non-functional requirements, including high throughput and low latency.
• Apply AI solutions across the software development lifecycle and promotecontinuous learning by identifying innovative approaches to improve engineering productivity and product quality.

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.

• 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, and language training offer, access
• 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 (possibility of using a wide range of products and services, including the Multisport card).

• Master’s degree in Computer Science or a related IT field.
• 12+ years of professional experience in data engineering, software engineering, or a similar technical leadership role.
• Proven experience leading engineering teams and mentoring technical professionals.
• Hands-on experience using AI within the software development lifecycle.
• Minimum 5 years of hands-on experience with Databricks, Python, Apache Spark, Delta Lake, DLT, and GitLab.
• Strong experience with Big Data technologies, Data Warehouses
• Experience building scalable batch and streaming data pipelines processing high-volume datasets.
• Extensive knowledge of cloud platforms (Azure preferred), Unix/Linux environments, and shell scripting.
• Experience designing high-performance applications with focus on throughput, scalability, reliability, and latency requirements.
• Expertise in automated testing, CI/CD implementation, and modern engineering practices.
• Strong communication, stakeholder management, and teamwork skills.
• Fluent English communication skills.

BONUS POINTS IF YOU HAVE:

• Experience with SQL, PL/SQL, PostgreSQL, Azure SQL, or other database technologies.
• Experience working across multiple cloud providers beyond Azure.
• Relevant cloud, data engineering, or Databricks certifications.

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.