Data Engineer - Junior/Mid/Senior

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 2 years of hands-on experience working with relational or analytical databases, applying SQL for development, testing, debugging, and performance optimization in production environments.
• Within that experience, at least 1 year designing or implementing ETL processes and data integration solutions using enterprise ETL tools (e.g., SAS Data Integration Studio, IBM DataStage, Informatica) 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.

Technical Skills:

Databases & SQL:

• Expert-level SQL skills (procedures, triggers, functions, packages) in at least one major RDBMS/EDW technology such as Oracle, MS SQL Server, Teradata, or DB2.
• Strong ability to profile, tune and optimize SQL code and database performance for ETL and reporting workloads.

Data Modeling & ETL

• Solid understanding of dimensional modelling, normalized/relational modelling and Data Vault approaches; ability to translate business requirements into conceptual, logical and physical models.
• Hands-on experience with ETL/ELT toolsets (SAS Data Integration Studio, IBM DataStage.

Cloud & Big Data (Experience or Interest):

• Experience with, or strong interest in, processing and integrating data on major cloud platforms (GCP, Azure, AWS). Familiarity with cloud storage, managed databases and serverless / data pipeline services is desirable.
• Bonus: familiarity in Big Data technologies such as Hive, Spark, NiFi, HBase, HDFS, Kafka, Kudu.

Programming & Analytics:

• Practical scripting or programming skills (SQL-centric plus one of Python, R, or SAS) to support data transformation, automation and basic analytics.
• Ability to translate complex business requirements into robust, scalable data solutions.

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.
• Willingness to travel to client locations across Europe as required.

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.

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.

Clicking apply I hereby express my consent to process my personal data included in my job offer by Accenture Sp. z o.o. or any other entity of the Accenture group for recruitment purposes, and that it is a data controller within the meaning of GDPR. More information about Accenture (and if necessary, also its representative) can be found here: https://www.accenture.com/pl-pl/privacy-policy.

About Accenture

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-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

Equal Employment Opportunity Statement

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.