analyst English-speaking jobs in Świdnica

Lead Consultant for SAP integration solutions (cloud and on-premise). Develops integration designs, manages the SAP EAI service, and delivers projects within SAP CPI/PO. Requires expertise in SAP PO, BTP Integration Suite/CPI/API Management, and strong communication skills.

Develop and maintain web services for internal group or production solutions. Enhance existing web services and frontend/backend components. Support and develop APIs for production and internal departments.

Lead Data Scientist will own the end-to-end ML lifecycle, architect inference for embedded/edge environments, and implement AWS ML platform capabilities. Requires 10 years in Data Science/ML, expertise in Python, deep learning, AWS ML/AI, and MLOps. Proven experience with LLMs/RAG, model optimization, and edge deployment is necessary. Strong software engineering and leadership skills are also required.

Security Engineer to join an Application Security team focused on securing applications through static testing, web application scanning, and supporting development teams in addressing vulnerabilities.

Senior DevOps Engineer to drive cloud infrastructure technical direction, continuous improvement, and service availability. Requires 6 years of experience as a DevOps Engineer, 3 years in AWS, and experience with Docker, Kubernetes, Terraform, and Linux.

Design, implement, and maintain observability strategies, Kubernetes clusters, and CI/CD pipelines. Develop Docker containerization strategies and apply Infrastructure as Code (IaC) practices. Collaborate with development teams on SLI/SLO frameworks and alerting strategies.

Experienced SQL, Python, and AWS Backend Developer and Data Architect needed to build and optimize marketing and analytics data ecosystems. Design data pipelines, architect integrations between marketing platforms, and enable advanced analytics for attribution, audience segmentation, and Marketing Mix Modelling (MMM).

Senior Requirements Engineer to analyze business and customer requirements for B2B eCommerce and CRM platforms built on SAP Commerce Cloud and Salesforce. Translate requirements into functional and technical specifications, epics, and user stories. Collaborate with solution architects, developers, and integration teams.

Data Engineer will deliver projects, participate in the project life cycle, and build data ingestion pipelines. Responsibilities include building a company-wide data platform in GCP, supporting existing services, and developing applications. Requires experience with data projects, Big Data and distributed computing frameworks (Spark), Python, SQL, DBT, Kafka, and data formats (AVRO/Parquet/ORC/JSON). Cloud (GCP preferred), GitLab, and containerization (Nomad or Kubernetes) experience is a plus.

Experienced SAP S/4HANA specialist to support international eInvoicing and tax compliance projects. Focus on SAP DRC, KSeF (Poland), and eInvoicing reporting in Italy. Requires 5+ years of SAP S/4HANA experience (FI, SD, MM) and knowledge of international eInvoicing regulations.

Analyze customer needs, design and implement Dynamics 365 BC solutions, particularly in manufacturing and finance. Provide training and advice on process optimization.

Designs and implements secure, scalable cloud and hybrid architectures (Microsoft Azure and multi-cloud environments). Develops and maintains cloud security blueprints, standards, and design patterns. Leads cloud-native and Zero Trust security design initiatives.

Senior Azure DevOps Engineer with .NET background needed for cloud platform design and evolution. Responsibilities include leading cloud migrations, implementing automated pipelines, ensuring platform security, and collaborating with teams to deliver secure SaaS products. Requires 6+ years of experience in infrastructure, software engineering, or DevOps with strong expertise in Microsoft Azure Cloud services, .NET, and Infrastructure as Code (Terraform, Bicep, or Pulumi).

Senior Research Engineer will design and deliver production-ready machine learning solutions for Allegro products. Responsibilities include data exploration, model development and evaluation, applied machine learning research, and knowledge sharing. Requires a master's or PhD in a STEM field, knowledge of deep learning techniques, and experience with Python and relevant libraries.

Act as a Record-to-Report (RTR) subject matter expert, advising clients on Digital Finance Transformation discussions focused on process design, harmonization, and improvement. Contribute to finance transformation projects, assess project requirements, and identify the best RTR solution for clients. Lead client conversations, workshops, and present recommendations to stakeholders.

A Cloud Engineer is needed to ensure infrastructure operations continuity and automation in production environments. Responsibilities include implementing CI/CD automation tools, configuring and maintaining GCP infrastructure, ensuring security, optimizing performance, and collaborating with development teams. A GCP Associate certification is required, along with experience with GCP technologies, networking, Infrastructure as Code, containerization, monitoring tools, CI/CD pipelines, Python, and DevOps principles.

Engineering Manager will lead engineering teams, implement technology strategy, and drive agile methodologies. Requires a Bachelor's or Master's degree in Computer Science or related field, 3-5 years managing engineering teams, and experience with ElasticSearch, PHP, Node.js, React.js, and Vue.js.

Software Engineer III will develop and maintain a data copying service system. Responsibilities include writing code, participating in design reviews, reviewing code, contributing to documentation, and triaging system issues. Requires a Bachelor's degree and 2 years of software development experience, including data structures and algorithms, C++, and distributed systems.

Azure Data Engineer needed to design, architect, and implement modern, secure, cloud-native data platforms on Azure. Responsibilities include building the infrastructure for data ingestion, transformation, and storage, and utilizing tools like Azure Data Factory, Databricks, Fabric, or Airflow. Requires 8 years of IT experience with extensive hands-on experience building modern cloud data platforms and infrastructure. Must have deep knowledge of the Azure ecosystem, proficiency with Terraform, Docker, AKS, Azure DevOps, and Python.

Senior Data Engineer to design data models and build lead generation and scoring systems using Python, Spark, Delta Lake, and SQL. Experience with B2B intent signals, predictive modeling, and ETL/ELT workflows is required. Databricks production experience is essential.