Databricks Community of Practice
Join our Databricks Community of Practice in Poland, where delivery excellence is at the core of everything we do. We design and build modern data products as well as advanced GenAI and agentic solutions powered by Databricks.
As part of a global network of 9,000+ AI experts and data scientists, we collaborate with leading technology partners—including Databricks, AWS, Google Cloud, Microsoft, Snowflake, and SAS—to deliver scalable, enterprise-grade data solutions that generate measurable business impact.
· Design and implement scalable end-to-end data pipelines (ETL/ELT) using Databricks (batch and streaming), including modern orchestration patterns such as Delta Live Tables
· Develop and maintain data models using Lakehouse and Medallion architecture (Bronze, Silver, Gold layers).
· Build robust data transformations using PySpark, Spark SQL, and Delta Lake.
· Integrate diverse cloud and enterprise data sources into unified, high-quality, analytics-ready datasets.
· Collaborate with architects, analysts, and data scientists to deliver production-grade data products.
· Implement DevOps and DataOps practices, including Git-based version control, CI/CD pipelines, and testing of data workflows.
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, Python or Spark for development, testing, debugging, and performance optimization in production environments.
Within that experience, at least 1 year practical experience designing or implementing ETL/ELT processes using Databricks and Apache Spark in cloud-based environments.
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:
Databricks & Spark:
Hands-on experience working with Databricks platform, including Delta Lake and Lakehouse architecture concepts.
Practical knowledge of Apache Spark (PySpark, Spark SQL), including batch and streaming processing.
Understanding of Medallion architecture design patterns.
Databases & SQL:
Strong hands-on SQL skills in analytical and distributed data environments (e.g., Spark SQL).
Ability to profile, tune, and optimize SQL queries for large-scale data processing workloads.
Data Modeling & ETL
Solid understanding of dimensional modelling; ability to translate business requirements into conceptual, logical and physical models.
Hands-on experience building scalable ELT/ETL pipelines in modern cloud-native environments.
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.
Understanding of CI/CD pipelines and version control (Git) in data engineering projects
Nice to Have:
Experience with Databricks Workflows, Unity Catalog, Auto Loader, Structured Streaming.
Knowledge of streaming technologies (e.g., Kafka).
Experience with dbt, MLflow, Feature Stores, or Infrastructure as Code (e.g., Terraform).
Exposure to data quality frameworks and monitoring solutions.
Experience supporting AI/GenAI use cases (e.g., LLM data pipelines, vector databases, AI-ready data preparation).
Programming & Analytics:
Practical scripting or programming skills (SQL, Python, Spark) 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.
WHAT WE OFFER?
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 to the e-learning platforms, Gallup test, GenAI training, possibility of co-financing courses, and certification).
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 WorkSmile benefits platform (possibility of using a wide range of products and services, including the Multisport card).
Working Conditions:
Employment contract (umowa o pracę)
Headquarter in Warsaw.
Traveling to work with prestigious clients and deliver large-scale transformational change. We deliver our work in hybrid model, remotely, in our offices but also traveling and working closely with our Clients in their offices. With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. That is why traveling declaration, willingness and ability to work at client locations mostly across Europe and beyond, for short or long term, is required.
The work location for this role may include a mix of working remotely, 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. As an employer, we will be as flexible as possible to support your specific work/life needs.
WHAT WE BELIEVE:
Accenture does not discriminate employment candidates on the basis of race, religion, color, gender, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, 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
Please be advised that only selected candidates will be contacted.
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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 at www.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.
Skills Required
- At least 2 years of hands-on experience with relational or analytical databases, SQL, Python, or Spark in production environments
- At least 1 year of practical experience designing or implementing ETL or ELT processes using Databricks and Apache Spark in cloud environments
- Practical experience creating conceptual, logical, and physical data models using dimensional, relational, or Data Vault techniques
- Hands-on experience with the Databricks platform, Delta Lake, and Lakehouse architecture concepts
- Practical knowledge of Apache Spark, PySpark, Spark SQL, batch processing, and streaming processing
- Strong hands-on SQL skills in analytical and distributed data environments
- Ability to profile, tune, and optimize SQL queries for large-scale data processing workloads
- Understanding of dimensional modeling and ability to translate business requirements into data models
- Hands-on experience building scalable ETL or ELT pipelines in modern cloud-native environments
- Experience with, or strong interest in, AWS, Azure, or GCP data processing and integration
- Understanding of CI/CD pipelines and Git-based version control in data engineering projects
- Professional working proficiency in English
- Willingness and ability to travel to client locations across Europe and beyond
- Experience with Databricks Workflows, Unity Catalog, Auto Loader, or Structured Streaming
- Knowledge of Kafka or other streaming technologies
- Experience with dbt, MLflow, Feature Stores, or Terraform
- Exposure to data quality frameworks and monitoring solutions
- Experience supporting AI or GenAI use cases, including LLM data pipelines, vector databases, or AI-ready data preparation
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
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Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
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Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
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Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
Accenture Insights
What We Do
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
