Hiring: Solutions Architect (iGaming) – Remote (EU Timezone Preferred) | B2B Contract   This is one of those rare, build-it-from-scratch opportunities ? I’m partnering with a highly ambitious, well-funded tech company preparing to launch a next-generation iGaming platform—and they’re looking for a Solutions Architect to define the entire architecture from day one.   We’re talking real-time betting, high-volume transactions, social features, and multi-provider integrations—all designed to scale across emerging markets to millions of users.   This is NOT a purely strategic role. They need someone who can design AND build, someone who thrives in complexity and wants to leave a real architectural legacy.   What makes this exciting: • Greenfield platform – zero legacy constraints • Massive scale + real-time systems (odds, settlements, live activity) • Complex integrations (sports data feeds, trading platforms, payments, KYC) • Direct impact working with senior leadership • Freedom to define architecture, standards, and best practices • B2B contract with flexibility and autonomy   What they’re looking for: • Proven Solutions Architect / Principal Engineer background • Deep expertise in .NET / C# and microservices at scale • Strong experience with event-driven systems (Kafka, etc.) • Hands-on with AWS cloud-native architecture • Experience designing real-time, high-throughput platforms   Critical requirement: iGaming / sports betting experience You must understand concepts like odds, markets, trading, and bet settlement, and ideally have worked with sports data feeds or managed trading providers   Remote (EU timezone preferred) Huge ownership + high-impact role   If you’ve been waiting for a chance to own architecture on a serious iGaming platform from day zero—this is it.

Data Engineer – Data & Analytics We are hiring on behalf of my client, a leading online entertainment company committed to providing users with engaging, trustworthy experiences while driving innovation in their sector. They are expanding their Data & Analytics function and building a modern, scalable Data Warehouse to support enterprise reporting, analytics, and operational decision-making. My client is seeking a Data Engineer to help design, develop, and maintain reliable data pipelines and warehouse models. This role is ideal for an engineer with strong fundamentals who enjoys working across systems and contributing to a structured, scalable data environment. Responsibilities Develop and maintain batch and incremental ETL/ELT pipelines Build ingestion processes from APIs and relational databases Implement transformation logic within the Data Warehouse Contribute to data quality validation, monitoring, and auditability Assist with containerized and automated workflows (Docker-based environments) Collaborate with source system teams and business stakeholders to clarify data structures and requirements Support schema evolution and controlled deployments Document pipeline logic and technical decisions Requirements 3–5 years of experience in Data Engineering, Software Engineering, or backend development Strong SQL proficiency Solid working knowledge of Python Good understanding of ETL/ELT concepts and incremental loading principles Experience working with relational databases and APIs Familiarity with Git and version control Strong analytical and problem-solving skills Strong engineering fundamentals and structured, detail-oriented approach Comfortable learning new technologies Effective communicator with technical and business stakeholders Able to navigate technical systems holistically Nice to Have Exposure to cloud data platforms (e.g., BigQuery, Snowflake) Experience with orchestration tools (e.g., Airflow) Familiarity with Docker or containerized environments Understanding of data modeling concepts Awareness of secure data handling and access control principles What My Client Offers Excellent work environment Attractive salary package Monetary vouchers for special occasions Fully equipped kitchen and social spaces Opportunities to enroll in medical and pension plans Exciting company activities including team events, competitions, and gatherings Casual dress code Opportunities for professional growth within a leading online entertainment organization

Responsibilities: Data Product Planning and Design: Deeply understand business data needs (e.g., operations, growth, monetization). Responsible for planning and designing data products (including dashboards, analytics platforms, data API services, etc.). Independently create product requirement documents (PRD), data dictionaries, and product prototypes, clearly defining product boundaries and core functionalities. Full-Process Project Management: Coordinate with data development, engineering, testing, and business teams to drive data products from requirement review, development, and testing to deployment and maintenance. Ensure project timelines, quality, and alignment with business requirements. Data Product Iteration and Optimization: Establish feedback mechanisms to collect user opinions and operational issues. Use key product metrics (e.g., usage rate, query efficiency, problem resolution rate) to formulate iteration plans and drive optimization. Data Requirement Discovery and Implementation: Collaborate with business teams to identify potential data needs and translate ambiguous requirements into actionable product solutions. Work with the data development team to clarify data sources and calculation logic, ensuring data accuracy and product usability. Support for Data Asset Management: Participate in data asset organization and management. Assist in building data standards and guidelines. Promote efficient reuse of data assets in products to enhance data value realization. Competitor and Trend Analysis: Monitor industry data product trends. Conduct competitor analysis of features, architecture, and user experience. Propose product optimization and innovation directions based on business realities. Requirements: Education and Experience: Bachelor’s degree or above, with at least 3 years of relevant data product experience. Experience in the internet industry (e.g., e-commerce, community platforms, social media, entertainment) is preferred. Familiar with data warehouse and data lake architectures and basic principles of common data processing technologies (Hadoop, Spark, Flink, etc.). Core Product Skills: Experience in full-process data product design and implementation, able to independently manage the end-to-end product lifecycle. Proficient in prototyping tools (Axure, Figma) and basic data tools (SQL, Python) for simple data queries and analysis. Data and Business Understanding: Strong data sensitivity; can accurately understand the connection between business logic and data needs. Able to solve real business problems through data product design. Familiar with common data analysis methods (e.g., funnel analysis, user segmentation, attribution analysis). Communication and Collaboration Skills: Excellent cross-team communication and coordination skills. Able to clearly interface with business, data, and engineering teams, efficiently convey requirements and technical boundaries, and drive consensus. Logical Thinking and Execution Ability: Strong analytical and logical thinking skills; able to extract core goals from complex requirements. High execution efficiency, able to handle multiple concurrent tasks and ensure timely project delivery.