Project overview

We are looking for an experienced BI Expert to design and deliver scalable, high-impact Business Intelligence solutions. In this role, you will combine strong technical expertise with a consultative mindset, working closely with stakeholders to transform data into actionable insights and support data-driven decision-making.

Position overview

We are looking for an experienced BI Expert to design and deliver scalable, high-impact Business Intelligence solutions. In this role, you will combine strong technical expertise with a consultative mindset, working closely with stakeholders to transform data into actionable insights and support data-driven decision-making.

Requirements

• 5+ years of experience in Business Intelligence or Data Analytics
• Strong hands-on expertise with Tableau and Power BI (dashboard development, data modeling, performance optimization)
• Solid knowledge of SQL and experience with relational databases
• Practical experience with data warehousing concepts and ETL processes
• Proven experience in pre-sales, solutioning, or consulting activities
• Strong communication skills with the ability to present to both technical and non-technical audiences
• Experience working in client-facing environments

Nice to have

• Experience with cloud data platforms (e.g., Snowflake, Databricks, Microsoft Fabric, AWS Redshift, BigQuery)
• Familiarity with other BI tools such as Qlik or Looker
• Knowledge of Python or R for data analysis
• Understanding of data governance and data quality frameworks
• Experience in consulting or outsourcing environments

Job Overview

We are looking for a senior DevOps engineer with extensive experience in GCP to support and improve the cloud platform. You will be involved in infrastructure design, automation, and system reliability, working with engineering teams to ensure efficient and stable delivery pipelines.

A set of technologies

Google cloud platform, Kubernetes, Docker, Terraform, CI CD tools, Linux, Git, monitoring and logging tools

Requirements

• Work experience as a DevOps engineer in cloud environments
• Extensive practical experience working with Google Cloud Platform
• Experience working with containerization technologies such as Docker and orchestration tools such as Kubernetes
• Experience working with infrastructure creation tools in the form of code, such as Terraform
• Experience in designing and managing CI CD pipelines
• Deep knowledge of Linux systems and the basics of networking
• Experience with monitoring, logging, and notification tools
• Familiarization with Git and Version control workflows

That would be a plus

• Experience working with multiple cloud environments
• Introduction to scripting languages such as Python or Bash
• Experience working with security systems in cloud environments
• The ability to optimize performance and manage costs on cloud platforms

Position overview

We are looking for a Senior Data Engineer to design, build and maintain the data layer of the platform. You will own canonical data modelling, transformation pipelines and the reporting semantic layer, integrate data from enterprise systems, and keep the whole data flow healthy — pipelines running, services alive, datasets trustworthy.

Requirements

• Experience with BigQuery and cloud based data warehousing
• Strong SQL skills and understanding of data modeling techniques
• Hands on experience with Dataform or similar transformation tools
• Python for data pipelines and services
• Working knowledge of the wider GCP platform: object storage, messaging and event services, containerised services, IAM and secrets management
• Experience building and maintaining data pipelines and ETL ELT processes, including event driven flows, with an understanding of orchestration principles
• Comfortable working with both structured and semi structured data
• Familiarity with Looker and LookML or similar semantic layer tools
• Git based workflow with code review and separate development and production environments
• Understanding of data quality practices and validation techniques
• Ability to collaborate effectively with cross functional teams

Nice to have

• Experience integrating data from enterprise or ERP systems such as Sage 200 or Dynamics 365
• Infrastructure as code (Terraform) and deployment automation
• Exposure to data governance and data catalog tools such as Dataplex
• Domain experience with ERP finance flows, field service operations or purchase order to invoice processes
• Experience with other cloud platforms or data tools
• Experience working in analytics or reporting focused environments

• Experience in application security or product security roles
• Hands-on experience with offensive security testing (e.g., Burp Suite, Nmap, Kali Linux)
• Strong understanding of web and/or mobile security
• Experience working with cloud-native applications (preferably AWS).
• Solid knowledge of networking and operating systems
• Experience with threat modelling and secure design practices
• Basic programming knowledge (Python, JavaScript, Go, or similar)
• Ability to identify and remediate common vulnerabilities (e.g., SQL injection, XSS)
• Experience advising engineering teams on secure coding practices
• Basic understanding of cloud environments and infrastructure concepts
• Experience working in microservices-based architectures to mandatory

• Strong hands-on experience with COBOL programming
• Proven experience working on IBM i (AS400) systems
• Solid understanding of DB2/400 and SQL
• Experience with batch jobs and transaction processing systems
• Familiarity with debugging and performance tuning on AS400
• Experience in production support environments

Nice to have

• Experience in banking or financial services systems
• Basic knowledge of RPG or CL
• Familiarity with system integration and data interfaces

Basic knowledge of one of the backend development languages (Python/ Java / Go / PHP)
Understanding OOP principles and basic algorithms and data structures
Knowledge of SQL and the basics of working with relational databases (PostgreSQL, MySQL) Understanding how HTTP, REST API, and client-server architecture work
The ability to work with the Git version control system
English at the level of reading technical documentation
Willingness to learn, responsibility and willingness to work in a team

• At least 3 years of experience in digital marketing or a similar role
• Near native English proficiency in both written and spoken communication
• Experience in B2B marketing, preferably within IT services
• Experience creating structured content for different digital channels
• Familiarity with LinkedIn and other digital platforms for professional audiences
• Experience using analytics tools such as Google Analytics
• Ability to manage multiple tasks and deadlines effectively
• Strong attention to detail and organizational skills
• Ability to collaborate with distributed teams and stakeholders
• Experience working in Jira or similar task management systems

Nice to have

• Experience with SEO tools such as Ahrefs or Semrush
• Experience running paid campaigns on platforms such as LinkedIn or Google Ads
• Familiarity with video production processes
• Understanding of IT product development concepts
• Experience working in remote or international teams

·       Strong Python development experience.

·       Strong experience in JavaScript or TypeScript development.

·       Experience working with modern frontend frameworks such as React.

·       Experience in developing backend APIs and microservices.

·       Excellent knowledge of SQL.

·       Experience working with cloud platforms such as AWS.

·       Understanding the principles of building a scalable web application architecture.

·       Experience working with REST API and integration with third-party services.

· Knowledge of Docker and CI/CD processes.

· Good communication skills and ability to work effectively in cross-functional teams.

·       Excellent knowledge of Python, REST API and FastAPI.

·       Practical experience in computer Vision and image processing.

·       Experience using OpenCV, Pillow, or similar libraries.

·       Practical experience with Google Cloud Vision API, Vertex AI Gemini, or similar managed AI services.

·       Experience working with Document AI, OCR (Optical text recognition) and structured data extraction.

·       Understanding the principles of multimodal large language models (Multimodal LLMs) and JSON-based response generation Schema.

·       Experience working with Cloud Storage, BigQuery, and Cloud Run.

·       The ability to choose the optimal approach between deterministic image processing algorithms controlled by computer vision services and multimodal AI models, depending on the task at hand.

• Hands-on experience with Compleat configuration: workflows, rules, validations, and dictionaries.
• Ability to read existing routines and identify optimization opportunities.
• Strong understanding of a PNR lifecycle, GDS commands and queues.
• Experience in development on C# / .Net
• Experience in integration with SOAP/REST APIs.
• Experience with RDBMS.
• Solid troubleshooting skills and attention to detail.
• Excellent communication skills.