BI-разработчик (Power BI, ClickHouse) (Python)

Team.Inno – one of the most experienced Belarusian companies providing full-circle software development, implementations and supporting, business analysis, design, testing and project management services.

Over 18+ years, we’ve implemented over 1600 projects in different industries for our clients in the USA, Canada, UK, Germany, France, Italy, Japan, and other countries. Our team specializes in 40+ business domains, including Artificial Intelligence, Machine Learning, Augmented & Virtual Reality.

Today, Team.Inno brings together over 3500 employees across its offices in Belarus, Poland, Georgia, Germany and Lithuania. We are constantly looking for both experienced professionals and entry-level specialists, and starting in 2025, we also offer free online courses for everyone who wants to begin a career in IT.

Here you can work on projects of different scales, explore various domains, and choose your own career path. Join us!

Requirements:

• Strong hands-on experience with Power BI Desktop and Power BI Service;
• Strong knowledge of DAX, including measures, calculated columns, and KPI logic;
• Experience building and maintaining Power BI semantic models;
• Strong SQL skills for data analysis, validation, reconciliation, and troubleshooting;
• Strong understanding of dimensional data modeling, relationships, facts, dimensions, and hierarchies;
• Experience working with complex hierarchical data structures;
• Prior experience working within Azure infrastructure and Azure-based data/analytics environments;
• Experience analyzing and extending existing Power BI reports, semantic models, and calculations;
• Experience with data quality, reconciliation, lineage, and data freshness;
• Experience implementing Row-Level Security (RLS) and deploying Power BI solutions across environments;
• Ability to optimize Power BI reports and troubleshoot performance, DAX, filtering, and refresh issues.

Nice to Have:

• Hands-on experience with Microsoft Fabric, including Lakehouse/Warehouse, semantic models, SQL Analytics Endpoint, or Direct Lake;
• Experience with VCAD for Power BI, VCAD Connector, VCAD API, or VCAD Power BI extensions;
• Experience integrating interactive 2D/3D CAD or BIM floor plans into Power BI;
• Experience with ETL/ELT processes and data pipelines;
• Experience designing dashboard and report mockups in Figma;
• Strong understanding of Power BI UI/UX and dashboard design principles;
• Hands-on experience with Python and common data analytics libraries such as Pandas, NumPy, and Matplotlib;
• Experience with other BI and analytics tools such as Tableau, Qlik Sense, Looker, or similar platforms;
• Familiarity with other cloud platforms such as AWS or GCP, including their data and analytics services;
• Practical experience using AI-assisted development and analytics tools in a responsible and effective way;
• Experience in Digital Twin, real estate, facility management, data centers, occupancy, or capacity planning;
• Understanding of data governance, canonical identifiers, source mappings, and reusable semantic models;
• Conversational English at B2 level

Main responsibilities:

• Design, develop, and maintain interactive Power BI dashboards and reports;

• Build and maintain reusable Power BI semantic models;

• Develop DAX measures, calculated columns, relationships, and hierarchies;

• Analyze and reuse existing Power BI reports, semantic models, and calculations;

• Develop reporting for space, occupancy, customer, contract, and capacity data;

• Integrate and visualize complex hierarchical and location-based data;

• Support VCAD/BIM floor-plan visualization in Power BI;

• Validate and reconcile data across reporting and source systems;

• Implement data-quality, lineage, and freshness indicators;

• Configure RLS and support deployment across environments;

• Optimize report performance and troubleshoot reporting issues;

• Collaborate with Data Engineers, Business Analysts, Solution Architects, and stakeholders.

We offer:

Learning and Development:

• A wide range of diverse projects in industries such as FinTech, Medicine, Entertainment, eCommerce, Gaming, Artificial Intelligence, and more;
• A broad technology stack with the opportunity to switch between technologies;
• Individual growth plans and regular reviews of conditions (project roles, salary level);
• Preparation for interviews with international clients in English.

Work Environment:

• On-site work format;
• Spacious and comfortable workstations;
• Detailed onboarding: introduction to the team, processes, and policies, office tour, welcome card;
• Cozy kitchens, game rooms, coworking spaces, and lounge areas.

Additional Perks:

• Voluntary health insurance;
• Discounts from partner companies (from pizzerias and bookstores to electronics stores).

If you’re looking for real opportunities to grow professionally and take control of your career — we’ll be happy to welcome you to our friendly team!

The creation of the workplace is planned for the longer term.

Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.

About the Role

We're hiring a Senior or Staff Software Engineer to join our Data Engineering team based in London.

As the Data Platform Team, we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.

We’re looking for experienced Engineers to help build our data platform from the ground up. You’ll have the opportunity to define its architecture, make key decisions, and shape how we handle and process petabyte-scale data in the near future.

What You'll Do

• Build the Capability Factory - an internal platform designed for everyone from software engineers to non-technical operators, enabling the entire organization to teach HMND robots new skills at scale, from raw data all the way to deployed capabilities.

• Curate, preprocess, and manage large-scale datasets for humanoid robot training - a corpus of robot telemetry growing toward petabyte scale.

• Design and operate highly scalable data pipelines and the compute infrastructure that powers them, ensuring reliability and throughput as data volume and team demands grow.

• Ensure the quality, accuracy, and consistency of training data across multiple concurrent projects and robot platforms.

• Collaborate with machine learning teams to shape the Capability Factory, streamline MLOps, and build the evaluation workflows that close the loop between training runs and real-world robot performance.

• Build data warehouse solutions and BI dashboards that give stakeholders across the organization clear visibility into data collection, model progress, and operational health.

• Establish and uphold best practices for data management - versioning, access control, security, and compliance.

What We're Looking For

• 5+ years of software engineering experience, with a track record of owning and delivering complex systems end-to-end, not just contributing to them.

• Strong backend engineering - designing and operating production-grade APIs and services: clean data modeling, reliable error handling, performance under load.

• Data engineering at PB+ scale - building and maintaining pipelines that move, transform, and validate large volumes of data reliably; understanding of batch and streaming processing patterns, data quality, and schema evolution.

• Workflow orchestration at scale - designing and operating multi-step automated pipelines with retries, observability, and graceful failure handling.

• Distributed systems fundamentals - you understand how things break at scale: eventual consistency, idempotency, backpressure, job scheduling, and failure modes in distributed compute and storage.

• Cloud infrastructure fluency - you have shipped and operated real systems on a major cloud provider; you think about cost, reliability, and security as first-class concerns, not afterthoughts.

• Container orchestration - deploying and operating workloads on Kubernetes at a level where you can debug scheduling issues, design resource allocation, and reason about cluster health without guidance.

• Full-stack range - comfortable building both the backend and the frontend of an internal product; you can own a feature from database schema to UI without handing off.

• Production ownership mindset - you've been on-call, triaged incidents under pressure, and improved systems after postmortems. You take reliability personally.

Nice to Have

• ML infrastructure or MLOps experience - understanding of how training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you've worked alongside or directly supported ML researchers.

• Distributed compute frameworks - experience with large-scale parallel data processing, whether for data transformation, model training, or evaluation.

• Domain knowledge in robotics or embodied AI - familiarity with robot data formats, sensor telemetry, or the sim-to-real evaluation loop is a significant head start.

• BI and data warehouse experience - building data models and dashboards that translate raw operational data into decisions for non-technical stakeholders.

• Dual-cloud or multi-cloud storage - experience reasoning about cost, latency, and consistency tradeoffs across storage providers.

• Frontend product sense - beyond just shipping features, you have opinions about what makes an internal tool actually usable by non-engineers.

What We Offer

• Competitive equity: stock options with meaningful upside as we scale.

• 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).

• Private healthcare, including virtual and in-person care.

• Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.

• Free daily breakfast, catered lunch, and snacks in-office.

• Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.

• Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.