... clocks between in-band and out-of-band sources. Diagnose sampling anomalies to root cause. Automate deployment. Repeatable, unattended process: stand up workloads and loggers on a new node, execute the run schedule, collect, and tear down cleanly. Runs are reproducible from configuration. Build automated data quality checks. ...
... connection point between customers, project managers and technicians in our customer centers and the R&D departments of our product companies in Sweden, Germany and Italy. You will contribute directly to how we create high-quality products and solutions for our customers. Your day-to-day tasks - Deploy and update our Atlas ...
... innovative AI and data solutions consultancy and we are seeking a motivated Data Engineer to join their growing team. In this role, you will design, develop, and maintain modern data solutions using Databricks, helping clients and internal teams process, transform, and analyze data effectively. You will work on reliable ...
... with engineers, product owners, and stakeholders across disciplines - translating complex requirements into clear technical solutions. Conducting code reviews and contributing to a culture of quality, documentation, and shared ownership. Leveraging AI tools in day-to-day work to enhance productivity and output quality. ...
... business-centric terms and challenging unrealistic requirements. Leading and performing code reviews for other senior engineers, ensuring high standards for code quality, resilience, and reliability. Driving improvements in CI/CD pipelines and engineering processes, helping the team ship high-quality code faster and safely. ...
... applicable regulatory requirements, internal standards and business priorities. This role will also support the development and improvement of regulatory operations processes, systems and metrics. You will contribute to the optimisation of ways of working, support data and process quality, and help embed consistent, scalable approaches ...
... using Python and SQL. Analyse data and investigate data quality issues in Databricks. Define data quality rules, controls and KPIs. Produce data quality reports and dashboards. Work with business and technical teams to resolve identified issues. Your profile 3–5+ years of experience in Data Quality, Data Engineering, Data ...
... service and document verification team for a leading mobility platform. You will own daily operations, coach staff and report to clients, while driving continuous process improvements and quality standards. Start date is September 2026. This is a full-time role based in Poland with remote work and optional in-person meetings; ...
... scalable batch and streaming data processing solutions; improving data quality, performance, reliability and observability; working with orchestration, CI/CD and infrastructure tools; collaborating with architects, engineers and client-side teams; taking part in technical decisions, code reviews and solution design; helping ...
... experienced AI/ML Software Engineer to join its Banking & Markets technology team. You will develop and advance production AI/ML systems and design, experiment with and evaluate ML-based applications. You will build high-quality software, libraries and frameworks, lead cross-team technical projects, and represent the organisation ...
The Security Automation & AI Engineer at ISS A/S in Warsaw, Poland will serve as the technical lead for security process automation and AI-driven transformation initiatives within the Information Security function. You will identify, design and implement automation solutions that increase efficiency, governance and reporting ...
... compliance with DORA requirements, Identify data quality issues, inconsistencies, and risks, and propose remediation actions, Define and document data collection and governance processes, Act as a data owner for selected DORA ROI data domains during BAU operations, Monitor and improve data quality, completeness, and accuracy, ...
A leading global consulting firm seeks an experienced Google Data Engineer in Wrocław. In this role, you will design, build, and maintain scalable data platforms on Google Cloud, working closely with analytics teams to ensure data quality and performance. The company offers a hybrid working model, access to extensive training ...
... understand model behaviour and performance Help build and maintain pipelines for real-world and synthetic training data Investigate model failures, performance issues, and production incidents Ship improvements iteratively and use real user feedback to guide further development Work closely with senior machine learning engineers, ...
... with Spark and Python for data ingestion, and build distributed pipelines for massive datasets. The role involves collaboration with data scientists, DevOps, and IT to deliver high-quality ML solutions, plus engaging with analysts and stakeholders to shape analytics models. Strong English and AWS experience are essential.
... sustainable operational processes. Defining and maintaining master data standards, business rules and governance frameworks. Improving master data processes, controls and data quality. Investigating recurring data issues and supporting long-term remediation. Working with business stakeholders, Process Owners and Digital & Technology ...
... engineering teams - Strong hands-on knowledge of modern data platforms such as Databricks - Experience with data pipeline orchestration, data modeling, data quality frameworks, and observability stacks - Familiarity with unstructured data processing and GenAI enablement pipelines is highly desirable - Comfortable working ...
... design through production delivery, balancing correctness, performance, security, and maintainability. You will collaborate with product management, support, and partner engineering teams to translate customer needs into robust technical solutions, mentor engineers, and raise engineering standards through high-quality
... Product Managers, and QA Engineers Participating in sprint planning, refinements, and release activities Supporting and improving CI/CD pipelines used in testing processes Ensuring high software quality standards throughout the SDLC Identifying quality risks and proposing process improvements Contributing to the continuous evolution ...