Data Engineer with Snowflake (AI&Data)

Accenture Poland

Województwo mazowieckie

Hybrid

PLN 133,920 - 189,720

Full time

14 days+

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Benefits offered by this job

Permanent employment contract
Comprehensive training package
Private medical care
Employee Share Purchase Plan

Job summary

Accenture Poland is looking for a Data Engineer to design and maintain scalable data pipelines, working with business stakeholders to translate requirements into effective solutions. The role requires familiarity with cloud technologies such as AWS, Azure, or GCP, and experience with SQL and Python. Offering a mix of remote and onsite work, this position provides an exciting opportunity to grow within a diverse team of data enthusiasts, supported by comprehensive training and development programs.

Qualifications

  • Strong problem-solving skills and ability to work effectively in a team environment.
  • Familiarity with data modeling basics, performance optimization, and data loading topics.
  • Experience with at least one cloud platform (AWS, Azure, or GCP).
  • Practical knowledge of SQL and experience in building data pipelines.

Responsibilities

  • Design, build and maintain scalable data pipelines and data processing frameworks.
  • Collaborate with business stakeholders to translate requirements into data engineering solutions.
  • Implement and optimize data ingestion and transformation processes.

Skills

Problem-solving skills
Team collaboration
Cloud technologies
Data modeling
SQL
Python
Data quality
APIs integration

Tools

Snowflake
AWS
Azure
GCP
DBT
Docker
Kubernetes

Job description

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. At the AI&Data, we work locally and globally with over 250 Poland-based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with tech partners like Microsoft, AWS, Google, Oracle, and Snowflake to implement cutting‑edge solutions. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics.

The Work

You will:

  • design, build and maintain scalable data pipelines and data processing frameworks supporting analytics and AI use cases.
  • collaborate with business stakeholders, solution architects and technical leads to translate business requirements into robust data engineering solutions.
  • implement and optimize data ingestion, transformation and orchestration processes using Snowflake and leading cloud platforms (AWS/Azure/GCP).
  • work with structured and unstructured data from multiple sources, ensuring high data quality, reliability and performance.
  • support development of modern data platforms, including Data Warehouses, Data Lakes, Lakehouse and Data Mesh architectures.
  • contribute to CI/CD processes, Infrastructure as a Code and automation of data workflows.
  • participate in troubleshooting, performance tuning and optimization of existing data solutions.
  • be involved in POC/POV initiatives and support innovation in data engineering practices and tools.
  • contribute to the growth of Snowflake technology practice in AI & Data and share knowledge within the team.
Flexible work arrangement

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.

What’s in it for you
  • Work on projects for international clients, expanding your data skill set.
  • Gain insights and support from a diverse team of over 250 Data‑enthusiasts. Access continuous learning through workshops and skill‑building initiatives.
  • Thrive in an exciting workplace that values and celebrates diverse perspectives. Contribute to a creative environment where your ideas are welcome.
Required Qualifications
  • A desire to develop competencies in cloud technologies and modern data engineering tools.
  • Strong problem‑solving skills and ability to work effectively in a team environment.
  • Familiarity with data modeling basics, performance optimization and data loading topics.
  • Familiarity with Snowflake technology or willingness to learn.
  • Experience with at least one cloud platform (AWS, Azure, or GCP).
  • Practical knowledge of SQL and experience in building data pipelines.
  • Experience with at least one programming language (Python preferred).
  • Understanding of data engineering concepts (ETL/ELT, data warehousing, data lakes).
  • Familiarity with workflow orchestration and pipeline tools.
  • At least basic knowledge of data quality, data governance and data security principles.
  • Ability to work with APIs and integrate data from multiple sources.
  • Excellent command of spoken and written English (B2 level).
Bonus Points
  • Experience with tools such as DBT, Matillion, Airflow, or similar.
  • Familiarity with Infrastructure as a Code (e.g., Terraform) and containerization (e.g., Docker, Kubernetes).
  • Knowledge of streaming technologies (e.g., Kafka).
  • Understanding of modern architectures (e.g., Data Mesh, Lakehouse).
  • Experience working in Agile delivery models.
  • Team management experience.
  • Certification in Snowflake and/or other above mentioned technologies.
What We Offer
  • A permanent employment contract.
  • Individual support of a People Lead and a clearly defined path of professional development, including the possibility of a session with a Coach.
  • A comprehensive training package, including soft skills, technical and language training, access to e‑learning platforms, Gallup test, GenAI training, possibility of co‑financing courses and certifications.
  • Employee Assistance Program offering legal, financial and psychological consultations.
  • Employee Share Purchase Plan – employees who own company shares are automatically eligible for quarterly dividends.
  • Paid employee referral program.
  • Private medical care and life insurance.
  • Access to the Worksmile benefits platform (including the Multisport card).
Equal Opportunity Employment

Accenture does not discriminate employment candidates on the basis of race, religion, color, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation or any other basis impermissible under Polish law. All our leaders are committed to building a better, stronger and more durable company for future generations to create positive, long‑lasting change. Inclusion and diversity are fundamental to our culture and core values.

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