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The FCU Technology team at PwC Polska includes over 100 IT specialists. The financial services industry operates in a challenging environment due to global economic pressures, increasing regulatory and capital requirements, and significant operational and technological changes. As FCU Technology, we provide innovative technological solutions, data analytics and consulting services for global PwC clients, responding to key challenges in the area of Anti Financial Crime (Anti Money Laundering, Combating Terrorism Financing, Transaction Monitoring, Fraud Risk Management, FATCA and implementation of financial sanctions, etc.). We are looking for: Data Engineer in FCU Technology Team (remote) Your future role: You will design, build and maintain scalable, reliable data pipelines and data platforms supporting analytical and reporting solutions You will work on end-to-end data engineering solutions – from data ingestion, through transformation and storage, to serving curated datasets for analytics and reporting, You will develop and optimize ETL / ELT pipelines using Databricks (Apache Spark, SQL, Python) and Delta Lake technologies, You will be responsible for data modelling, data structures and performance optimization in analytical data stores (lakehouse / data warehouse), You will implement and maintain data quality, data validation and monitoring mechanisms ensuring accuracy, consistency and reliability of processed data, You will collaborate closely with data analysts, BI developers and business stakeholders to translate business and regulatory requirements into robust technical solutions, You will contribute to architecture decisions related to data platforms, data processing patterns and technology choices, You will support and mentor junior data engineers, helping them grow their technical and consulting competencies, You will actively participate in client-facing work – discussing requirements, presenting solutions and explaining technical concepts in an accessible way, In addition to project work, you will keep up with latest data engineering, cloud and Anti Financial Crime trends and contribute to internal initiatives and accelerators. Apply if you have: Master’s degree (preferably in Computer Science, Data Engineering, Mathematics, Statistics or similar), Commercial experience in data engineering, database development or data platform roles, Strong understanding of data engineering fundamentals: ETL/ELT, data warehousing, lakehouse architectures, Hands-on experience with Databricks, including: – building and maintaining Spark-based batch and/or streaming data pipelines, – working with Delta Lake (ACID tables, schema evolution, incremental processing, merges), – optimizing performance (partitioning, file compaction, query optimization), – developing pipelines using Databricks notebooks, jobs and workflows, Very good knowledge of SQL (designing, writing and optimizing complex queries), Experience with Python for data processing and transformations (e.g. pandas, PySpark), Solid understanding of data modelling, data quality and data governance concepts, Experience working with cloud-based data platforms (Azure preferred), Ability to gather and translate business requirements into technical solutions, Excellent communication skills and ability to work with both technical and non-technical stakeholders, Ability to work effectively under pressure while maintaining a high level of accuracy, Fluent written and spoken English, Willingness to work in international project teams. Nice to have: Experience with streaming data processing (e.g. Spark Structured Streaming), Knowledge of data governance or metadata tools (e.g. Collibra), Experience in financial services, AML / AFC or regulatory-driven environments, Additional languages: German, Dutch or French. By joining us you gain: Work flexibility - hybrid working model, flexible start of the day, sabbatical leave, Development and upskilling - our full support during onboarding process, mentoring from experienced colleagues, training sessions, workshops, certification co/financed by PwC and conversations with native speaker, Wide medical and well-being program - a medical care package (incl. physiotherapy, discounts on dental care), coaching, mindfulness sessions, psychological support, education through dedicated webinars and workshops, financial and legal advice, Possibility to create your individual benefits package (a.o. lunch pass, insurance packages, concierge, veterinary package for a pet, massages) and access to a cafeteria - vouchers, discounts on IT equipment and car purchase, 3 paid hours for volunteering per month, Additional paid Birthday Day off, And when you start enjoying PwC as much as we do, you may recommend your friend to work with us. Recruitment process: CV verification, HC screening phone call, Interview 1, Interview 2 (technical). If you have additional questions, please contact us: pl_mso_career@pwc.com Please note that we do not collect resumes in our inbox. Your personal data will be processed for recruitment purposes by PwC Corporate Business Services sp. z o.o. sp.k. or another PwC entity which runs a recruitment process - (list of entities). If you have given separate consent, data will also be processed for other purposes in accordance with the content of the consents granted. Full information about processing your personal data is available in the 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.