Data Engineer

🕒 il y a 2 mois

🇵🇱 Pologne – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🚰 Ingénieur Data

👻 Score fantôme 26%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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PwC

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1998

💸 Finance

💼 Conseil

☁️ SaaS

💰 Grant en 2023-09

Finance • Consulting • SaaS

PwC est un réseau mondial de cabinets fournissant des services professionnels dans des domaines tels que l'audit, l'assurance, le conseil et les services fiscaux. Présent dans 157 pays et employant plus de 276 000 personnes, PwC s'engage à offrir des services de qualité en assurance, conseil et fiscalité. L'entreprise se spécialise dans l'aide aux organisations et aux individus pour créer la valeur qu'ils recherchent, en fournissant des solutions spécialisées dans divers secteurs, notamment les services financiers, la technologie, les médias et les télécommunications, entre autres. Les services de PwC incluent le conseil sur des questions telles que la cybersécurité, la transformation des entreprises et la durabilité, garantissant qu'ils restent à la pointe des tendances de l'industrie et des besoins des clients.

Description

• 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.

🎯 Exigences

• 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

🏖️ Avantages

• 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