Databricks Data Engineer

4900 Accenture Sp. z o.o. Company

Warszawa

Hybrid

PLN 190,000 - 270,000

Full time

14 days+
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Benefits offered by this job

Private medical care
Life insurance
WorkSmile platform access
Employee referral program

Job summary

Accenture is seeking a Data Engineer in Poland to design and build scalable data pipelines on Databricks, applying Delta Lake and Lakehouse pattern. You will model data, implement ETL/ELT processes, and collaborate with data scientists to deliver production-grade data products.

We value hands-on experience with Spark, PySpark, SQL, and cloud platforms (GCP/AWS/Azure). A hybrid work model with travel across Europe is offered, along with a strong training package and benefits.

Qualifications

  • 2+ years in relational or analytical DBs with SQL/Python/Spark in production.
  • At least 1 year designing ETL/ELT with Databricks/Spark in cloud env.
  • Experience with dimensional or data vault data modeling in analytics.

Responsibilities

  • Design and implement scalable end-to-end data pipelines using Databricks.
  • Develop data models and transformations with PySpark and Spark SQL.
  • Collaborate with architects, analysts and data scientists to deliver data products.
  • Apply DevOps/dataops practices, including Git, CI/CD, and testing.

Skills

Databricks & Spark
SQL
Python
Spark SQL
ETL/ELT design
Data modeling
DevOps/DataOps
CI/CD

Tools

Databricks platform
Delta Lake
Lakehouse architecture
dbt
Airflow/ orchestration
Delta Live Tables
Unity Catalog
Automated testing

Job description

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.

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.
  • Working closely with our Clients in their offices, with 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.
  • 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.

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. Bring your incredible skills and join our global team of innovators. We come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you’ll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that’s why we offer support any way we can—when you thrive, we all thrive. Explore your next step at Accenture Belong. Grow. Thrive. Join a great place to work for reinventors who drive meaningful change for our clients, communities, and the world. Wo rld. Explore your next step at Accenture

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