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Who We Are 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. We offer solutions and assets across Strategy & Consulting, Technology, Operations, Industry X, and Accenture Song. At the AI&Data team , we work locally and globally with over 200 Poland‑based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with tech partners like Microsoft, AWS, Google, Oracle, and Snowflake to implement cutting‑edge solutions. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics. For more information about Accenture Technology Poland , please visit our website: Poland | Let There Be Change | Accenture Before you dive into the role In this role, you will be part of the team driving digital transformation, where you’ll get hands‑on experience with GenAI and LLM in a production environment from day one. You will have the opportunity to learn by doing and contribute to shaping the architecture from the ground up alongside experienced senior specialists. Why join us? You will work with market experts in a culture built on knowledge sharing and strong technical foundations. Your development will be supported, with access to certifications and training backed by technology partners . We focus on outcomes rather than time spent logged in, ensuring a healthy work‑life balance and flexibility aligned with your needs. Our recruitment process is designed to be clear, efficient, and respectful of your time (HR+skill+confirming). THE WORK Support in building and maintaining cloud‑based data pipelines in Azure and Databricks. Assist in extracting, transforming, and integrating data from multiple data sources into central platforms. Apply knowledge of data modeling fundamentals, including 3NF and star/snowflake schemas. Use SQL and basic PySpark to perform data manipulation, transformation, and preparation. Collaborate closely with senior engineers on the implementation of scalable data solutions. Flexible: The work location for this role may include a mix of working remotely (most of the time), 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’S IN IT FOR YOU? Opportunity to build and expand your data engineering skill set in Azure and Databricks. Exposure to international projects and a diverse team of Data & AI specialists. A collaborative environment where your ideas and growth matter. Here’s What You’ll Need Minimum 1 year of hands‑on experience with data pipelines and Databricks. Familiarity with Unity Catalog features. Foundational knowledge of Azure cloud services and cloud data concepts. Proficiency in SQL and basic PySpark. Understanding of data modeling fundamentals and basic ETL/ELT concepts. Basic understanding of Git and DevOps concepts. Good communication skills and willingness to learn. Ability to work effectively in a team environment. BONUS POINTS IF YOU HAVE Understanding of Lakehouse concepts and Medallion architecture. Knowledge of Power BI or Tableau. Azure Fundamentals or Databricks Lakehouse Fundamentals certification. Academic or personal projects related to data engineering or analytics. Familiarity with Jupyter notebooks or similar tools. 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 A permanent employment contract. Individual support of a People Lead and a structured development path, including access to coaching. A comprehensive training package (soft skills, technical skills, language classes, e‑learning platforms, Gallup test, GenAI training, co‑financing of courses and certifications). Employee Assistance Program — legal, financial, and psychological consultations. Eligibility for the Employee Share Purchase Plan and quarterly dividends. Paid employee referral program. Private medical care and life insurance. Access to the Worksmile platform, including Multisport. What We Believe Accenture does not discriminate against employment candidates based on race, religion, color, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation, or any other basis impermissible under Polish law. 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 communities. Sustainability is one of our greatest responsibilities, and we embed it into everything we do. When applying please enclose the below statements: By clicking "apply", I hereby express my consent to the processing of 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
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.