Data Engineer (Databricks)

<p style="text-align:left"><b>Job Location</b></p>HYDERABAD OFFICE INDIA PSC PGH<p style="text-align:inherit"></p><p style="text-align:left"><b></b></p><p><span style="color:#000000">The Trade Promotion & Analytics (TP&A) organization is embarking on a mission-critical initiative to consolidate our diverse enterprise data landscape into a single, unified data foundation. To achieve this, we are seeking a skilled, hands-on <b>Data Engineer (Databricks)</b> to join our team in Warsaw.</span></p><p><span style="color:#000000">In this role, you will be at the core of designing and implementing a cohesive relational and analytical data model by integrating data across multiple systems. You will combine hands-on engineering—building robust, scalable pipelines in <b>Databricks and Azure</b>—with technical stewardship, serving as the subject matter expert and reviewer for external vendor developers. Your work will directly empower global teams with faster, more reliable insights and establish the data backbone for future analytics. If you have strong technical depth in <b>Python, SQL, Databricks</b>, and data modeling, and enjoy driving high-quality engineering standards, we would love to connect with you.</span></p><br /><p><span style="color:#000000"><b><span style="font-size:inherit">Key Responsibilities</span></b></span></p><p><span style="color:#000000"><b>1. Hands-On Development & Implementation (40%)</b></span></p><ul><li><span style="color:#000000">Design, build, test, and deploy automated data pipelines and ETL/ELT processes on our <b>Azure and Databricks</b> platform.</span></li><li><span style="color:#000000">Write clean, maintainable, production-ready code in <b>Python and PySpark</b> for data transformations, integrations, and aggregations.</span></li><li><span style="color:#000000">Develop, tune, and optimize complex <b>SQL</b> queries to ensure high performance and efficient pipeline execution.</span></li><li><span style="color:#000000">Ensure end-to-end data quality, consistency, and reliability across all production data flows.</span></li></ul><p><br /><span style="color:#000000"><b>2. Data Modeling & Engineering Design (30%)</b></span></p><ul><li><span style="color:#000000">Actively contribute to designing and implementing a harmonized relational and analytical data model that serves as the single source of truth for downstream analytics.</span></li><li><span style="color:#000000">Analyze existing multi-source data models and schemas to understand data flows, entity relationships, constraints, and business logic.</span></li><li><span style="color:#000000">Collaborate closely with Data Analysts and business stakeholders to translate analytical requirements into robust, scalable data structures.</span></li><li><span style="color:#000000">Ensure data modeling consistency, best practices, and thorough architectural documentation across data assets.</span></li></ul><p><br /><span style="color:#000000"><b>3. Technical Delivery & Vendor Oversight (30%)</b></span></p><ul><li><span style="color:#000000">Act as the technical point of contact, SME, and quality gatekeeper for deliverables developed by external vendor engineers.</span></li><li><span style="color:#000000">Perform structured <b>code reviews</b> and pull request (PR) approvals to ensure compliance with P&G coding, testing, and security standards.</span></li><li><span style="color:#000000">Partner with the Product Owner to track delivery milestones, technical trade-offs, and early mitigation of technical debt.</span></li><li><span style="color:#000000">Promote best engineering practices, continuous integration/continuous deployment (CI/CD), and shared team standards.</span></li></ul><p style="text-align:inherit"></p><p style="text-align:left"><b>Job Qualifications</b></p><ul><li><b>Technical Ownership & Guidance:</b> Demonstrated experience conducting code reviews, establishing best practices, and providing technical guidance to junior peers or external vendor developers. Strong communication skills with the ability to articulate technical trade-offs to project stakeholders.</li><li><b>Data Modeling:</b> Expert-level understanding and hands-on experience with relational data modeling, data warehousing concepts (e.g., star/snowflake schemas), and database design.</li><li><b>SQL Mastery:</b> Expert-level proficiency in SQL, including writing complex queries, performance tuning, and working with advanced functions across different database systems.</li><li><b>Python & PySpark:</b> Advanced programming skills in Python for data manipulation (e.g., Pandas) and proven, hands-on experience developing solutions with PySpark in a distributed computing environment.</li><li><b>Cloud & Big Data</b>: Strong, practical experience with the Azure data stack (e.g., Azure Data Lake Storage, Azure Data Factory, Synapse Analytics) and the<b> Databricks </b>platform.</li><li><b>Analytical Mindset: </b>Exceptional analytical, problem-solving, and critical-thinking skills with a demonstrated ability to deconstruct complex business and data problems.</li></ul><p> <br /></p><p><b>We offer</b></p><ul><li>P&G-sized projects and access to world leading IT partners and technologies from Day 1.</li><li>Wide range of self-development possibilities (training and certifications paths).</li><li>Competitive starting salary and benefits program (private health care, P&G stock, saving plans, sport cards).</li><li>Regular salary increases and possible promotions - in line with your results and performance.</li><li>Opportunity to change role every few years to be in the best place for you and best for P&G.</li></ul><br /><br /><p>At Procter & Gamble, we embrace a hybrid work model that combines the flexibility of remote work with the collaborative benefits of in-office engagement. Employees can enjoy the option to work from home two days a week while also spending time in the office to foster teamwork and enhance communication.</p><br /><p><b>Kindly be advised that at P&G, employment is exclusively extended on the basis of "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.</b></p><br /><p>P&G is committed to fair pay, transparent compensation principles, and a diverse and inclusive workplace. The stated salary range applies to this role and is established using objective criteria, such as job scope, level, and relevant market benchmarks. The final offer within this range will be determined based on the candidate’s experience, skills, and qualifications.</p><p>At P&G, salaries are based on a comprehensive evaluation process including relevant experience and qualifications credited within our salary ranges. Total rewards may include base salary, variable compensation (where applicable), and benefits. As part of our commitment to provide a superior employee experience, we offer a comprehensive and competitive Total Rewards package that contributes to employees feeling Valued and Rewarded.</p><p>Compensation is reviewed regularly and may evolve based on performance, impact, role scope, and market range changes, in line with company policy and local regulations, with future earning potential extending beyond the posted range depending on impact.</p><p> </p><p>*Subject to applicable taxes</p><br /><p><b>At P&G #weseeequal</b></p><p>We are an equal opportunity employer and value diversity at our company.</p><p>At P&G we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work. We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please click <a target="_blank" href="https://www.pgcareers.com/global/en/disability-accommodation-request">here</a> if you require an accommodation during the application process. Please make sure to wait to hear back from us regarding your accommodation before proceeding with the online assessment, we thank you in advance for your patience. </p><br /><p style="text-align:inherit"></p><p style="text-align:left"><b>Job Schedule</b></p>Full time<p style="text-align:inherit"></p><p style="text-align:left"><b>Job Number</b></p>R000162190<p style="text-align:inherit"></p><p style="text-align:left"><b>Job Segmentation</b></p>Experienced Professionals