Senior Data Engineer (with GCP experience)

Accenture Poland; Warszawa; Híbrido; PLN 180 000 - 260 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Employee referral program

Employee Share Purchase Plan

Private medical care

Life insurance

Resumo da oferta

Accenture Poland's AI Centre of Excellence in Warsaw is seeking a seasoned data engineer who thrives on turning data into business insights. You will design and implement scalable ETL pipelines, model data in modern architectures, and contribute to cutting-edge AI initiatives across cloud platforms.

Join a cross-functional, agile team that blends data science, engineering, and business domains. Travel to client sites in Europe may be required, with a flexible hybrid work model to support

Qualificações

• At least 4 years of professional data engineering experience with ETL and data integration.
• Experience with data modelling and architecture across conceptual, logical and physical models.
• Nice-to-have: experience with scalable AI/ML solutions using cloud tech.

Responsabilidades

• Contribute to AI initiatives by applying analytical and creative skills.
• Design and implement scalable data pipelines using cloud AI tech.
• Collaborate in agile, cross-functional teams across tech, business and data science.
• Grow accountability and autonomy with experience and seniority.

Conhecimentos

SQL

dbt

Data Vault 2.0

Python

Spark

BigQuery

Cloud Composer

Dataproc

GCS

Docker

Kubernetes

GitLab CI/CD

GIS knowledge

English proficiency

Descrição da oferta de emprego

Join our AI Centre of Excellence in Poland, part of a global team of 9,000+ AI experts and data scientists. We partner with leading tech providers (AWS, GCP, Microsoft, Databricks, Snowflake, SAS) to build scalable AI solutions that drive real business impact.

• Contribute to cutting-edge AI initiatives by applying your creativity, critical thinking, and analytical skills.
• Design and implement scalable data pipelines using cloud, generative, and agentic AI technologies.
• Work in agile, cross-functional teams combining technical, business, and data science expertise.
• Your accountability, responsibility, and autonomy will grow with your experience and seniority - we are looking for specialists with various experience levels.

HERE'S WHAT YOU'LL NEED

Experience Requirements (Cumulative)

• At least 4 years of professional data engineering experience, designing or implementing ETL processes and data integration solutions using enterprise ETL tools for large or complex data sets.
• Exposure to data modelling and architecture: practical experience creating conceptual, logical and physical data models using dimensional, relational or Data Vault techniques in analytical environments.
• Nice-to-have: experience with designing or implementing scalable AI/ML solutions using cloud technologies.

Technical Skills

• Data Modeling & Transformation: SQL, dbt, Data Vault 2.0
• Programming & Data Processing:
• Python,
• Nice-to-have: Spark (PySpark / Scala)
• Cloud & Infrastructure:
• Google Cloud Platform (BigQuery, Cloud Composer, Dataproc, GCS)
• Nice-to-have: Docker & Kubernetes
• DevOps & Collaboration: GitLab & CI/CD
• Nice-to-have: Geographic Information Systems knowledge

Soft Skills & Language

• Strong analytical thinking, problem-solving and attention to detail.
• Professional working proficiency in English and effective communication with technical and non-technical stakeholders.

Working Conditions

• Location: Our headquarters is in Warsaw, with an additional office in Kraków.
• Flexibility: While most of our work is delivered remotely, our consulting model - through Intelligent Consulting Hub Europe (ICH) - also involves on-site collaboration. You should be willing and able to travel to client locations across Europe (and occasionally beyond) for short or long-term engagements, depending on project needs.
• Hybrid Collaboration: We value in-person time for learning, relationship-building, and team collaboration. As an employer, we aim to be as flexible as possible to support your individual work-life balance and preferences.

WHAT WE OFFER

Career Development

• Permanent employment contract
• Individual support from a dedicated People Lead
• Personalized professional development path
• Access to coaching sessions
• Extensive training package including:
• Soft skills, technical, and language training
• E-learning platforms
• Gallup strengths assessment
• GenAI training
• Cloud certification programs

Well-being & Support

• Employee Assistance Program offering legal, financial, and psychological consultations
• Private medical care and life insurance coverage
• Access to the MyBenefit platform, including a wide range of products and services (e.g., Multisport card)

Perks & Incentives

• Paid employee referral program
• Eligibility for quarterly dividends through the Employee Share Purchase Plan (for employees who own company shares)

WHAT WE BELIEVE

Accenture does not discriminate employment candidates on the basis of race, religion, colour, 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. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities. Our position as partner to many of the world’s leading businesses, organizations and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, which we embed it into everything we do and for everyone we work with.