Data & AI Engineer With MS Fabric Or Databricks - Junior/mid/senior - ICH Europe

Intelligent Consulting Hub (Ich) Ai Centre Of Excellence

Intelligent Consulting Hub is a part of Europe Strategy & Consulting practice, pulling together multinational and cross-cultural professionals based at key locations across Europe. No matter what business, no matter where in the world, our unrivaled industry and function experts help our Clients to shape the future creating clearly defined, measurable value. We are delivering on the promise of technology and human ingenuity. Our Poland part of ICH Consulting Hub is located in Warsaw, Kraków, Wrocław, Łódź and Gdańsk. Your impact will be truly global as you will leverage an unmatched network of people, knowledge, tools and technologies and work alongside some of the best thinkers in the market.

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 data solutions that drive real business impact.

Design and implement end-to-end data pipelines (ETL / ELT) using Databricks and Microsoft Fabric.

Develop and maintain data models (Bronze, Silver, Gold layers) for analytics and AI use cases.

Work with Python, SQL, and Spark to build robust, efficient, and reusable code.

Integrate diverse data sources into unified, high-quality datasets.

Collaborate with architects, analysts, and data scientists to ensure seamless delivery of insights.

Apply best practices in DevSecOps, version control, and CI/CD for data solutions.

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/ELT processes and data integration solutions using modern enterprise Data& AI toolsets (e.g. Databricks or Microsoft Fabric) 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; ability to translate business requirements into conceptual, logical and physical models.
• Hands-on experience with ETL/ELT toolsets

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.

GenAI Skills:

• Experience with building and using GenAI based solutions to solve business problems and improve work efficiency.
• Open to work with GenAI based tools including agentic AI solutions to reinvent architecture landscape of modern companies.

Programming & Analytics:

• Practical scripting or programming skills (SQL-centric plus one of Python, R, or SAS) to support data transformation, automation and basic analytics.
• Experience or strong interest to upskill in Spark.
• 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 can be found here: https://www.accenture.com/pl-pl/privacy-policy.

About Accenture:

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces™. Join Accenture to work at the heart of change.

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