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You will support the entire project lifecycle - from data intake and transformation to analytics and machine learning to productive operation.</p>\n<p>You will work closely with data engineers, architects, data scientists, and subject matter experts to implement scalable, reliable, and value-adding solutions in complex customer environments.</p>\n<p><strong>Your Tasks</strong></p>\n<ul>\n<li>Apply data science methods (machine learning, deep learning, GenAI) to solve concrete business questions</li>\n<li>Work with structured and semi-structured data in data lakes, lakehouses, and data warehouses</li>\n<li>Set up data pipelines for analytical workloads</li>\n<li>Support the productive implementation of data and ML solutions, including monitoring and optimisation</li>\n</ul>\n<p><strong>What You Bring - Required</strong></p>\n<ul>\n<li>At least 3 years of relevant professional experience in the field of data engineering, data science, or analytics</li>\n<li>Hands-on experience in implementing data and analytics solutions in (customer) projects</li>\n<li>Strong problem-solving skills and a pragmatic, implementation-oriented way of working</li>\n</ul>\n<p><strong>Data Engineering Fundamentals</strong></p>\n<ul>\n<li>Experience in setting up data pipelines (ingestion, transformation, storage)</li>\n<li>Solid understanding of data modeling, data transformations, and feature engineering</li>\n<li>Experience with cloud-based data platforms, such as:</li>\n</ul>\n<ol>\n<li>Azure, AWS, or GCP</li>\n<li>Databricks, Snowflake, BigQuery, Azure Synapse/Microsoft Fabric</li>\n</ol>\n<ul>\n<li>Knowledge of CI/CD concepts and production-ready deployments</li>\n</ul>\n<p><strong>Applied Data Science &amp; Analytics</strong></p>\n<ul>\n<li>Experience in applying GenAI, deep learning, and machine learning procedures as well as statistical analyses</li>\n<li>Very good programming skills in Python</li>\n<li>Very good SQL skills and experience with relational databases</li>\n<li>Experience in deploying and productively using ML models</li>\n<li>Ability to translate analytical results into business-relevant insights</li>\n<li>Bachelor&#39;s or master&#39;s degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience with:</li>\n</ul>\n<ol>\n<li>Streaming technologies (e.g. Kafka, Azure Event Hubs)</li>\n<li>Time series analysis, NLP applications, or system modeling</li>\n<li>NoSQL databases (e.g. MongoDB, Cosmos DB)</li>\n<li>Docker and Kubernetes</li>\n<li>Data visualization tools like Power BI, Tableau</li>\n<li>Cloud or architecture certifications</li>\n</ol>\n<p><strong>Language &amp; Mobility (Germany)</strong></p>\n<ul>\n<li>Fluent German skills (at least C1) for customer communication in the German-speaking market</li>\n<li>Very good English skills</li>\n<li>Project-related travel readiness</li>\n</ul>\n<p><strong>Your Team</strong></p>\n<p>You will become part of our growing Data &amp; Analytics teams. In this area, you will work with modern technologies in modern data ecosystems. You have the opportunity to turn your own ideas into results - in the areas of Data &amp; Analytics Strategy, Data Management &amp; Governance, Data Platforms &amp; Engineering, and Analytics &amp; Data Science.</p>\n<p><strong>About Infosys Consulting</strong></p>\n<p>You will become an employee of a globally renowned management consulting firm at the forefront of technological innovation and industrial transformation. We work across industries with leading companies. Our culture is inclusive and entrepreneurial. As a mid-sized consulting firm embedded in the size of Infosys, we can support our customers worldwide and throughout the entire transformation process in a partnership-like manner.</p>\n<p>Our values IC-LIFE - Inclusion, Equity &amp; Diversity, Client, Leadership, Integrity, Fairness, and Excellence - form our compass of values. Further information can be found on our career website.</p>\n<p>In Europe, we are awarded by the Financial Times and Forbes as one of the leading consulting firms. Infosys is ranked among the top employers in Germany 2023 and has been certified by the Top Employers Institute for outstanding working conditions in Europe for five consecutive years.</p>\n<p>We offer a market-leading salary, attractive additional benefits, and excellent opportunities for further education and development. Have you become curious? 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In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data &amp; Analytics Strategy, Data Management &amp; Governance, Data Platforms &amp; Engineering, Analytics &amp; Data Science.</p>\n<p><strong>About Infosys Consulting</strong></p>\n<p>Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.</p>\n<p>Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.</p>\n<p>Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.</p>\n<p>We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you.... Apply today!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ee2fcbdc-fc4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Infosys Consulting - Europe","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/uuSzzCt8qNbo6UpEFkSyjY/hybrid-principal-consultant---data-architecture-in-london-at-infosys-consulting---europe","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Data Mesh/ Data Fabric/ Data lake / data warehouse architectures","Modern Data Architecture design principles","Batch and streaming data integration patterns","Data Platform, DevOps, deployment and security architectures","Analytics and AI enablement architectures","Azure, AWS or GCP","Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric","Postgres, SQL Server, Oracle","Cosmos DB, MongoDB, InfluxDB","API-based and event-driven architectures","Docker / Kubernetes"],"x-skills-preferred":["Advanced analytics, AI / ML or GenAI","Streaming platforms (e.g. Kafka, Azure Event Hubs)","Data governance or metadata tools","Cloud, data, or architecture certifications"],"datePosted":"2026-03-09T16:52:06.783Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Data Mesh/ Data Fabric/ Data lake / data warehouse architectures, Modern Data Architecture design principles, Batch and streaming data integration patterns, Data Platform, DevOps, deployment and security architectures, Analytics and AI enablement architectures, Azure, AWS or GCP, Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric, Postgres, SQL Server, Oracle, Cosmos DB, MongoDB, InfluxDB, API-based and event-driven architectures, Docker / Kubernetes, Advanced analytics, AI / ML or GenAI, Streaming platforms (e.g. Kafka, Azure Event Hubs), Data governance or metadata tools, Cloud, data, or architecture certifications"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_56dc9a51-e66"},"title":"Principal Consultant - Data Architecture","description":"<p><strong>Principal Consultant - Data Architecture</strong></p>\n<p>You will be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset.</p>\n<p><strong>About Your Role</strong></p>\n<p>As a Principal Data Architecture Consultant, you will act as a senior technical leader in complex data and analytics engagements. 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In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data &amp; Analytics Strategy, Data Management &amp; Governance, Data Platforms &amp; Engineering, Analytics &amp; Data Science.</p>\n<p><strong>About Infosys Consulting</strong></p>\n<p>Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.</p>\n<p>Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. 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