Senior Data Engineer Salary- Up to €60k + competitive bonus Location- Greece (Remote or Athens)We're looking for a Senior Data Engineer with deep expertise in Python and Azure to join our growing team and help us harness the power of data to shape the future of gaming and entertainment. <h3>Your Role</h3>As a Senior Data Engineer, you'll play a critical role in designing, building, and maintaining our data infrastructure, ensuring it's robust, scalable, and ready to meet the demands of a fast-paced, data-driven industry.Key Responsibilities:<ul><li>Deploy and manage their products using CI/CD best practices following the 'you build it, you run it' culture</li><li>Cloud Infrastructure: Architect, implement, and manage data solutions on Microsoft Azure, leveraging services like Data Factory, Synapse, Databricks, and Azure Functions.</li><li>Database Management: Design and manage data warehouses, ensuring optimal storage, retrieval, and performance.</li><li>Collaboration: Work closely with data scientists, analysts, and software engineers to ensure seamless data flow and accessibility.</li><li>Automation &amp; Optimization: Use Python to automate processes, optimize workflows, and enhance data processing efficiency.</li></ul>Essential Skills &amp; Experience:<ul><li>Technical Expertise: Strong proficiency in Python for data engineering tasks and scripting.</li><li>Azure Experience: Deep understanding of Azure Data Services (e.g., Data Factory, Synapse, Databricks, and Azure Functions).</li><li>Data Engineering: Proven experience in designing, building, and managing ETL/ELT pipelines and data workflows.</li><li>Software Engineering: Strong software engineering background, skilled in designing, writing and deploying production-grade code that aligns with our data-first vision.</li><li>Big Data Tools: Experience with distributed computing frameworks like Apache Spark</li></ul>If you are interested, please do reach out for a further conversation- daniel.wexler@xcede.com

Senior Data Engineer

Xcede are currently supporting a Global consumer product company with a Marketing effectiveness project, focused on Marketing Mix Modelling, Multi-Touch Attribution, and other models. Our customer is actively searching for Freelance Senior Data Scientists, with 2+ years of experience in Media/Marketing Mixed Models (MMM), strong knowledge of Bayesian Methods and expert level knowledge of Python. The Senor Data Scientists will be responsible for data collection, including data extraction and manipulation, data analysis and validation. They will build base models according to the project specification, incorporating all drivers of KPIs, providing rationale for variables selection, understanding coefficients and contribution. Key skills include;<ul><li>Minimum of 5 years of proven experience in developing and implementing Marketing Mix Models</li><li>Expert in Python and familiar with R programming for MMM Models</li><li>Have in depth understanding of statistical modelling / ML techniques</li><li>Strong experience with Regression based models applied to the context of MMM modelling</li><li>Solid experience with Probabilistic Programming and Bayesian Methods</li><li>Be an expert in mining large &amp; very complex data sets using SQL and Spark</li><li>Have in depth understanding of statistical modelling techniques and their mathematical foundations,</li><li>Have a good working knowledge of Pymc and cloud-based data science frameworks and toolkits. Working knowledge of Azure is preferred</li><li>Have a deep knowledge of a sufficiently broad area of technical specialism (Optimisation, Applied Mathematics, Simulation)</li><li>MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a strong foundation in modelling and computer science.</li></ul>

Senior Data Scientist 

Product Analytics LeadUp to £95k Location- London (Hybrid) As their Lead Product Analyst, you'll be at the forefront of leveraging data to inform product strategy, unlock growth opportunities, and inspire a culture of analytical excellence.Here's what you'll be leading:<ul><li>Strategic Product Insights: Collaborate with product, engineering, and design teams to define KPIs, analyze trends, and provide recommendations that align with business objectives.</li><li>Data Leadership: Guide and mentor a team of product analysts, fostering a culture of curiosity, precision, and collaboration.</li><li>Experimentation &amp; Testing: Lead the design, execution, and analysis of A/B tests and other experiments to drive feature optimization and validate hypotheses.</li><li>Stakeholder Engagement: Partner with leadership and cross-functional teams to ensure alignment between data insights and business strategy.</li><li>Building Analytics Infrastructure: Work closely with data engineering teams to improve data accessibility, quality, and reliability for analysis and reporting.</li><li>Driving Innovation: Identify untapped opportunities in user behavior, market trends, and product usage to inform the product roadmap.</li></ul><hr /><h3>What You Bring</h3>We're looking for a data-driven visionary with:<ul><li>Experience: 5+ years in product analytics, data science, or a similar field, with at least 2 years in a leadership or mentorship capacity.</li><li>Technical Expertise: Proficiency in SQL, Python/R, and visualization tools like Tableau, Looker, or Power BI. Familiarity with product analytics platforms such as Amplitude or Mixpanel is a strong plus.</li><li>Analytical Excellence: A proven track record of transforming complex data into actionable insights that drive meaningful product improvements.</li><li>Experimentation Mastery: In-depth experience with A/B testing frameworks, methodologies, and statistical analysis.</li><li>Product-First Mindset: A deep understanding of product lifecycles and how data informs decisions at every stage of development.</li></ul> If you are interested, please reach out for a further conversation- daniel.wexler@xcede.comUnfortunately, this role does not offer sponsorship!

Product Analytics Lead 

Senior Product Analyst Up to £78k London (hybrid working)Xcede are exclusively working with a Series D scaule up in the UK.They are looking for a Senior Product Analyst to join their growing analytics team and play a pivotal role in shaping the future of their products.Key Responsibilities:<ul><li>Data Analysis &amp; Insights: Analyze product performance data, identify trends, and provide actionable insights to guide product strategy and development.</li><li>Performance Metrics: Develop and track key product metrics, ensuring alignment with company goals and objectives.</li><li>A/B Testing: Design, implement, and analyze A/B tests to optimize product features and user experience.</li><li>User Behavior Analysis: Utilize data to understand user behavior, identify pain points, and recommend enhancements. </li></ul>Qualifications:<ul><li>Experience: Minimum of 5 years of experience in product analytics or a related field.</li><li>Education: Bachelor's degree in a relevant field (e.g., Data Science, Statistics, Computer Science, Economics).</li><li>Technical Skills: Proficiency in SQL, data visualization tools (e.g., Tableau, Looker), and statistical analysis tools (e.g., R, Python).</li></ul>If you are interested, please reach out for a private conversation- daniel.wexler@xcede.com

Senior Product Analyst 

​Norman joined Xcede's DACH team in 2022 as a Consultant. His focus area is BI and Analytics.

Norman Cistovas

Consultant

Location: BraunschweigSalary: up to €95,000 + company carOne of the largest clothing retailers in Europe is looking for a Senior Manager - Logistics &amp; Warehouse. They have over 1,000 stores across Europe &amp; Asia, grossed +€4 billion last year and are looking to continue their success with you.The position:<ul><li>Lead operational planning for company-wide warehouse logistics.</li><li>Drive strategic logistics department growth, including new warehouse</li><li>Set performance targets and SLAs with scalable, flexible logistics solutions.</li><li>Manage personnel and resource planning with area managers and stakeholders.</li><li>Define KPIs and report on warehouse performance metrics: productivity, throughput, system and goods availability, and on-time, in-full shipping.</li><li>Identify and assess opportunities to enhance quality, cost, and efficiency across logistics.</li></ul>Your experience:<ul><li>Degree in economics or related field with a focus on logistics or supply chain management.</li><li>3+ years of experience in warehouse logistics.</li><li>Experience in warehouse technology and logistics IT systems and applications.</li><li>Business fluent in German and English</li></ul> Benefits<ul><li>Salary up to €95,000</li><li>Company car</li><li>Annual contribution to capital-forming schemes (pension, savings, etc.)</li><li>2 Stage Interview Process</li><li>Individual progression plan with allocated learning and development budget</li><li>30 Vacation Days</li><li>Employee Discounts on company products</li></ul> For more information, apply or contact Norman Cistovas

Senior Manager Logistics & Warehouse

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Norman Cistovas

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