MeGaDev

N.B.! Location: remote from Latvia/Lithuania; possible relocation (the company provides support).
JD:

In a partnership with one of the global consulting companies, we are looking for a skilled Chatbot Developer with deep expertise in IBM Watson Assistant to support the development, maintenance, and continuous evolution of our TOBi chatbot platform. The ideal candidate will work closely with global teams in an agile environment to design high-quality conversational flows, respond to evolving business requirements, and ensure optimal chatbot performance through rigorous testing and debugging.

Key Responsibilities

• Design, develop, and enhance chatbot solutions using IBM Watson Assistant.
• Translate business requirements into effective conversational flows and dialogue structures.
• Maintain and evolve the TOBi chatbot platform, ensuring reliability and high performance.
• Conduct thorough testing, debugging, and optimisation to improve user experience and automation rates.
• Collaborate with cross-functional, global teams in an agile working environment.
• Participate in iterative development cycles, sprint planning, and continuous improvement initiatives.
• Utilise version control and agile tools to manage development and deployment processes.

Required Skills & Experience

• Proven experience developing chatbot solutions with IBM Watson Assistant.
• Strong understanding of Natural Language Processing (NLP) fundamentals and conversational design principles.
• Demonstrated ability to debug, test, and optimise chatbot interactions and performance.
• Familiarity with agile development methodologies and version control tools (e.g., Git).
• Excellent communication skills and a collaborative mindset for working with global, cross-functional teams.

N.B.!!! Location - remote from Latvia, Lithuania (we provide support).

In a partnership with one of the global consulting companies, we are looking for a Data Engineer for Experimentation. You will play a pivotal role in shaping, maintaining, and optimising the datasets and pipelines that power our client's (UK-based telecommunication company) experimentation capabilities. Working at the intersection of data engineering and analytics, you’ll collaborate closely with experimentation leads, analysts, Data products and product teams to deliver high-quality, trusted data assets that enable data-driven decisions across the organisation.

You will work primarily in AWS environments, building scalable and maintainable data workflows using SQL, and ensuring that data pipelines and models are efficient, standardised, and well-documented. This role focuses on data excellence and enablement, not infrastructure management, ideal for a data professional passionate about building reusable, high-quality data foundations for experimentation.

Key Responsibilities

·      Grow and lead a diverse team of analysts to deliver high-quality, actionable insights, fostering an inclusive and collaborative culture where all individuals can contribute fully.

• Design, build, and maintain robust data pipelines and workflows in AWS to support experimentation datasets and metrics.
• Transform, model, and standardise raw data into trusted, analysis-ready datasets using best practices in data modelling and governance.
• Collaborate with data scientists, analysts, and product teams to translate business requirements into scalable data models and reliable datasets for experimentation.
• Own and optimise SQL-based ETL processes for efficiency, reliability, and consistency across experiments.
• Ensure data quality through testing, validation, and monitoring frameworks.
• Partner with Analytics and Experimentation teams to design experiment tracking data structures and pipelines that capture key performance metrics.
• Contribute to the continuous improvement of data standards, naming conventions, and reusable frameworks across the product data domain.

Skills and experience required

• Experience leading and managing a team of data analysts, developing individuals and teams to achieve their full potential and driving value through data and insight (2+ years)
• Significant experience in a Data or Analytics Engineering role, preferably supporting digital product experimentation or data science workflows (4+ years)
• Advanced SQL expertise for building and optimising complex queries, transformations, and data models. (4+ years)
• Strong knowledge of data modelling techniques (e.g. STAR schemas, 3NF, entity-relationship modelling, Medallion architecture).
• Proven experience designing and maintaining data pipelines in AWS (e.g. Redshift, S3, Glue, Lambda, Step Functions, or similar).
• Experience using modern data orchestration and transformation tools such as DBT, Airflow, or similar.
• Ability to break down ambiguous business problems into clear, actionable data solutions.
• Strong analytical and problem-solving skills, with the ability to architect scalable, efficient, and transparent data solutions.
• Excellent communication skills, capable of working effectively with both technical and non-technical stakeholders.
• Familiarity with experimentation frameworks (e.g., A/B testing pipelines, event tracking) is a strong plus.

N.B.!!! Location - remote from Latvia, Lithuania (we provide support).
In partnership with one of the global consulting enterprises, we are seeking for a Product Analyst. The client has been serving audiences online for a quarter of a century. Key products including iPlayer, Sounds, News and Sport app. The client is a UK-based telecommunication company.

Product Analytics are at the forefront of understanding how our audiences interact with their brand, working to create richer, more personalised experiences that the audiences love.  

Main responsibilities

• Collaborate with Product Managers, Data, and Product Teams to understand their metrics requirements and translate these into clear, actionable dashboards and self-serve analytics solutions that enable data-informed decision making.

• Build and maintain BI dashboards and reports using ATI Piano Analytics (Explorer, Data Query, Dashboards) and other BI platforms (e.g. Power BI, Tableau, Looker, Google Data Studio) to surface key insights across product areas.

• Design, develop, and optimize SQL queries to extract, transform, and analyse large datasets from data warehouses, ensuring accuracy and efficiency.

• Work with digital product analytics data to interpret user journeys, funnels, and conversion patterns, and to identify opportunities to improve audience experience and engagement.

• Understand and shape data models and tagging frameworks, ensuring event data is accurately captured and structured to support analytics needs.

Essential

• At least 2 years of experience in an analytical role, preferably in digital products

• Proactive self-starter

• Advanced SQL skills and experience working with very large and complex datasets (2 years or more)

• Experience with Piano Analytics Workspaces

• A continual focus on learning and development

• A focus on collaboration and thrives working as part of a cross-functional team

Desirable

• Excellent data visualisation skills and experience working with data visualisation tools such as Tableau

N.B.! Location: remote from Latvia/Lithuania; possible relocation (the company provides support).

JD:
In a partnership with a global consulting partner, we are looking for an experienced Kotlin Developer. The client is a Belgian telecommunication company.

What will you be doing?

You will play a key role in evolving our backend platform as we expand support beyond the Dutch market into Belgium, each with its own functional and regulatory needs.

In this role you will:

Design, build, and optimise backend systems primarily using Kotlin (≈50%) and Spring Boot.

Work extensively in our AWS environment (≈25%), leveraging services such as ECS, ECR, S3, SQS, SNS, AppSync, DocumentDB, DynamoDB, Lambda, API Gateway, Transfer Family, VPC, CloudWatch, CodePipeline, and Terraform.

Develop and maintain GraphQL APIs (≈15%), ensuring efficient and reliable data exchange between our services and clients.

Occasionally contribute to our TypeScript (≈10%) codebases, collaborating with frontend and platform teams when needed.

Continuously develop, test, and release new features in an Agile environment.

Embrace a "you build it, you run it" culture—taking full ownership of the software you deliver, including reliability, performance, and maintenance.

Help shape the architecture of our services and influence engineering standards within the team.

Contribute to a culture of continuous improvement—making systems more robust, scalable, secure, and observable.

Share knowledge, provide technical guidance, and help ensure the platform evolves in a future-proof way.

Must-haves:

Strong experience with Kotlin and Spring Boot.

Solid hands-on experience with AWS, ideally with several of the following:

ECS, ECR, Lambda, S3, DynamoDB, DocumentDB, SQS, SNS, AppSync, API Gateway, VPC, CloudWatch, CodePipeline, and Terraform.

Experience designing and developing RESTful and/or GraphQL APIs.

Familiarity with service-oriented or microservice architectures.

Comfort working in modern, automated CI/CD environments.

Strong focus on security, scalability, and operational excellence.

A proactive, self-driven mindset and the ability to work effectively in complex environments.

Nice to haves:

Experience building highly secure or high-availability systems.

Experience with Akamai or other edge / CDN technologies.

AWS certifications.

Experience with TypeScript in production systems.

N.B! - Preferrable locations: remote from Latvia, Lithuania, Spain, Poland, Slovakia, Romania, Hungary 

In partnership with one of the global consulting enterprises, we are seeking Experimentation / Product Analytics Engineers at multiple levels (see level-specific requirements below). These roles are part of the client's World Service App and wider product teams, helping to enhance engagement across iPlayer, Sounds, News, and Sport apps by designing, running, and analyzing experiments at scale.

Overview

Experimentation is central to making the right decisions for our users. As part of the Product Analytics & Experimentation team, you will design and manage A/B tests, calculate statistical thresholds, validate data quality, and deliver actionable insights to product teams. Your work will directly shape product decisions, ensuring that new features and user experiences are guided by evidence, data, and user behavior.

This role is highly collaborative, working closely with product managers, data scientists, engineers, and analytics teams.

Core Tools & Skills (All Levels)

• SQL (DataGrip, Workbench, VS Code, AWS Console, etc.)
• Statistical tools: Excel, Python, or R
• Experimentation platforms: Optimizely
• Digital analytics: Piano Analytics, Tag Inspector
• Data dictionaries & metadata: Alation or similar
• Collaboration tools: Jira, Confluence, GitHub
• Visualization: Tableau (desirable at higher levels)

Key Responsibilities (All Levels)

• Work closely with product and analytics teams to identify and solve problems through experimentation.
• Design and manage experiments (A/B testing, RCTs), including calculating and communicating baseline conversion rates, sample sizes, MDE, confidence levels, and statistical power.
• Monitor and validate data quality in running experiments.
• Analyze performance of experiments, visualize findings, and communicate them clearly to product teams and wider stakeholder groups.
• Conduct deep-dive analyses of results to provide actionable insights and suggest future iterations.
• Collaborate with the platforms team to improve the experimentation platform and analytics infrastructure.
• Ensure findings are accessible to both technical and non-technical stakeholders, supporting data-driven decision-making.

Level-Specific Requirements

Level 3 (Entry/Mid-Level)

• Skills & Tools: Proficient in SQL and Excel. Familiarity with Optimizely, Piano Analytics, and Tag Inspector. Exposure to Python or R for basic statistical analysis. Basic understanding of experimental design and statistical concepts.
• Typical Experience: 1–2 years in a data or analytics role. Works under general direction, escalating complex issues.

Desirable (All Levels)

• Experience running end-to-end A/B testing.
• Working knowledge of data visualization tools (e.g., Tableau).
• Familiarity with digital analytics tracking, specs validation, and debugging.
• Strong facilitation skills for workshops and stakeholder alignment.

N.B! - Preferrable locations: remote from Latvia, Lithuania, Spain, Poland, Slovakia, Romania, Hungary 
 

Job Description

In a partnership with one of the global consulting companies, we are looking for a Senior Software Engineer. Elevate your career by joining us in our work with a prestigious UK-based multinational media company as a consultant. Seize the opportunity to grow professionally by leveraging cutting-edge technologies, driving the migration towards technical excellence, and contributing to products that reach millions of users daily. Enhance your skills in shaping team workflows  within a dynamic international corporate environment

Key responsibilities:

• Feature Development: Spearhead the design, build, and testing of responsive and accessible web solutions, ensuring top-notch quality and user experience.

• Quality and Scalability: Ensure high quality and scalability of the solutions delivered by the team using modern engineering practices.

• Alignment with Standards: Work closely with the team lead to align the team’s ways of working with the company quality standards and technology roadmap.

• Process Improvement: Work on continuous improvement of the team delivery processes and identify areas for improvement at the company level.

• Requirement Breakdown: Collaborate with stakeholders to break down requirements into manageable work items, ensuring clarity and alignment with the team's capabilities.

Desired Qualifications:

• Accessibility Champion: Proven experience in developing web applications that adhere to WCAG accessibility guidelines, ensuring inclusivity for all users.

• Full-Stack Proficiency: Extensive experience (5+ years) with modern full-stack development using TypeScript, ReactJS, NodeJS, and robust testing frameworks like Jest and Cypress.

• Cloud Native Development: Experience with cloud technologies, including microservices architecture and serverless computing platforms such as AWS Lambda (or equivalent).

• CI/CD Mastery: Proficiency in configuring and managing CI/CD pipelines using Github Actions, Jenkins or similar tool, ensuring efficient and automated software delivery

N.B! - Preferrable locations: remote from Latvia, Lithuania, Spain, Poland, Slovakia, Romania, Hungary 

Software Engineer Team Lead

Platform Migration Team | UK-based Telecommunication Company

We are partnering with a global consulting company to find a Software Engineer Team Lead for a UK-based telecommunication client. You will join the Platform Migration Team and help drive the development of scalable, high-quality software while supporting and guiding the engineering team.

What you’ll be doing

• Leading the development of software that solves complex product and business challenges.
• Reviewing code and providing constructive feedback to maintain high standards and support team growth.
• Writing high-quality, production-ready code and ensuring team goals are delivered successfully.
• Integrating software with monitoring and support tools to ensure smooth operations.
• Creating, reviewing, and maintaining clear technical documentation.
• Participating in and occasionally leading agile ceremonies, including planning, delivery, and retrospectives.
• Working closely with architects, delivery, and technical leads to design solutions and break them down into clear, implementable tasks.
• Contributing to test frameworks to validate both functional and non-functional requirements.
• Communicating progress, risks, and issues to a wide range of stakeholders.
• Troubleshooting and resolving technical issues.
• Mediating between teams and individuals to ensure effective collaboration and communication.

What we’re looking for (Essential)

• Strong experience with test-driven development and a deep understanding of testing and QA practices.
• Solid knowledge of operational aspects such as monitoring, performance testing, scaling, availability, resilience, and security.
• Ability to translate product requirements into robust and scalable technical solutions.
• Excellent software development skills with experience building highly scalable applications.
• Hands-on experience with NodeJS / Typescript.
• Experience with AWS services, including:
  • Infrastructure as Code using AWS CDK
  • Lambda
  • SNS & SQS
  • API Gateway

Nice to have (Desirable)

• Experience with Dynamo DB and Aurora PostgreSQL.
• Building operational alarms based on CloudWatch metrics.
• Implementing CI/CD pipelines, including:
  • GitHub Actions using AWS CodeBuild self-hosted runners.
• Experience with Grafana availability tooling.
• Familiarity with event-based architectures and microservices environments.

N.B! - Preferrable locations: remote from Latvia, Lithuania, Spain, Poland, Slovakia, Romania, Hungary 

In a partnership with a global consulting company, we are seeking a System Support Engineer. The client is a UK-based telecommunication company. The Data Tooling team provides essential internal tools to help the client make informed data decisions. One of our responsibilities is the support and maintenance of our self-hosted instance of Tableau, used widely across the organisation for the visualisation of audience behaviour. We are seeking a Service Support engineer to balance technical maintenance and enhancements with operational user-facing support.

Key Responsibilities

- Administer and maintain the Tableau Server in production, ensuring reliability, security and performance.

- Work with other support engineers to manage live incidents, diagnose issues and restore service.

- Support Tableau Server optimisation and deployment

- Work directly with users and stakeholders, handling ad-hoc requests to optimise workbooks and dashboards by being their first line of support

- Manage the AWS Windows Server environments and ensure seamless Tableau integration with connected AWS services.

- Monitor server & application health, automate routine admin tasks, and troubleshoot system issues.

- Work with the team to identify, prioritise & deliver initiatives aimed at optimising the Tableau service.

Required Skills

- Experience working with and developing on AWS services such as EC2, IAM roles, VPC and elastic load balancers.

- Confident using AWS CLI and CDK.

- Experience with the management of Windows and Linux operating systems (Powershell, bash, zsh)

- Experience with using Tableau or a desire to upskill

- Strong collaborator – experience working in multidisciplinary teams to deliver outcomes.

- Experience managing stakeholders

Desirable Skills

- Experience in using and creating scripts for the automation of regular tasks

- Familiar with tools such as Jira and Confluence

N.B! - Preferrable locations: remote from Latvia, Lithuania, Spain, Poland, Slovakia, Romania, Hungary 

In a partnership with one of the global consulting companies, we are looking for a Software Engineer Team Lead. The client is a UK-based telecommunication company (Platform Migration Team).

Roles/Responsibilities 

• Lead the development of software that addresses complex product and business challenges.

• Provide constructive code reviews to maintain high standards and support team growth.

• Deliver high-quality, production-ready code, ensuring successful completion of team goals.

• Integrate software with monitoring and support tools to ensure operational excellence.

• Create, review, and maintain clear technical documentation.

• Actively participate in and occasionally lead agile planning, delivery processes, and retrospectives.

• Collaborate with Architect, delivery, and technical leads to design software and breakdown into implementable tasks and be able to navigate ambiguity.

• Contribute to test frameworks to verify functional and non-functional requirements.

• Communicate status information and issues to a variety of stakeholders

• Troubleshooting and resolving issues

• Able to mediate between teams and individuals to successful outcomes ensuring teams are collaborating and communicating well with each other

Essential

• Strong experience with test-driven development and a deep understanding of testing and QA practices.

• Skilled in addressing operational concerns like monitoring, performance testing, scaling, availability, resilience, and security.

• Proficient in translating product requirements into robust, scalable technical solutions.

• Excellent development skills and experience building highly scalable applications

• Experience of NodeJS/Typescript

• Experience with the following AWS services:

o Infrastructure as Code using AWS CDK

o Lambda

o SNS & SQS

o API Gateway

Desirable

• Experience of Dynamo DB and Aurora PostgreSQL

• Building Operational Alarms based on CloudWatch metrics

• Implementing CI/CD pipelines

o GitHub actions using AWS Code Build self-hosted runners

• Grafana availability tooling

• Familiarity with event-based architecture and microservices environments

N.B.! Location: remote from Latvia/Lithuania; possible relocation (the company provides support).

JD:

In a partnership with one of global consulting companies, we are looking for an experienced Adobe Analytics Analyst to support data-driven decision-making across complex, end-to-end digital customer journeys. In this role, you will be responsible for building scalable analytics solutions, ensuring data quality, and transforming digital performance data into clear, actionable insights for senior stakeholders.

You will work closely with digital, product, marketing, and technology teams to ensure accurate tracking, robust reporting, and meaningful analysis that directly supports business outcomes. The client is a UK-based telecommunication company.

Key Responsibilities

• Develop, build, and maintain Adobe Analytics workspaces and dashboards covering complex end-to-end digital journeys.
• Use Adobe Report Builder to create automated, reliable, and scalable reports for cross-functional teams.
• Analyse digital performance trends and translate complex datasets into clear insights and recommendations for senior leadership.
• Perform QA of analytics tracking across new and existing digital journeys to ensure accurate and complete data capture.
• Troubleshoot data discrepancies and ensure compliance with tagging governance and best practices.
• Combine data from multiple sources (e.g., Adobe Analytics, CRM systems, operational data) to create unified performance views.
• Design and deliver clear, concise, and compelling reports tailored for senior stakeholder audiences.
• Identify key opportunities, risks, and trends to support strategic and tactical decision-making.

Required Skills & Experience

• Proven experience as a Digital or Adobe Analytics Analyst.
• Strong hands-on expertise with Adobe Analytics (Analysis Workspace, segments, calculated metrics).
• Experience using Adobe Report Builder for automated reporting.
• Strong understanding of digital analytics tagging, data layers, and governance principles.
• Demonstrated ability to analyse complex data and communicate insights in a clear, business-focused manner.
• Experience working with multiple data sources and integrating datasets for holistic analysis.
• Excellent stakeholder communication skills, including experience presenting to senior leadership

About the Client
The Client builds software that simplifies IT management, improves data performance, accelerates migration and modernization, and strengthens identity and cybersecurity—serving 130,000+ organizations (including 95% of the Fortune 500) from Aliso Viejo HQ with 3,500+ employees in 39 countries
What You’ll Do
Assess the legacy C++/MFC/Win32 codebase and identify viable modernization paths (WinUI 3, Avalonia, or hybrid approaches)
Define the overall modernization strategy, including prototype scope, migration patterns, and reusable UI component architecture
Establish principles for dialog abstraction and reusability to reduce long-term maintenance overhead
Evaluate risks, third-party dependencies, and constraints of legacy controls; propose mitigations
Lead technical scoping for the discovery and prototype phase
Oversee architecture decisions for integrating modern UI frameworks with legacy components
Partner with UI/UX designers to translate design assets (icons, palettes, layouts) into scalable implementation patterns
Define technical acceptance criteria for prototype and milestone deliverables
Ensure stability, performance, and maintainability while introducing architectural improvements
Act as primary technical counterpart to client architects and senior engineers
Provide hands-on guidance to C++/MFC developers and modern UI engineers
Advise client leadership on trade-offs between short-term cosmetic refresh and deeper architectural changes
Contribute to proposal refinement, roadmap shaping, and definition of Phase 2 delivery models
Requirements:
Senior level (minimum 5–10 years of experience)
Strong C++ expertise
Experience with MFC / WinAPI
Proven experience working with legacy codebases

Nice to have:
C# experience
WPF or Avalonia experience
gRPC experience

N.B. - remote Location in Latvia or Lithuania only, possible relocation!!!

Fullstack Developer (Backend-Focused)

In partnership with a global consulting company, we are looking for an experienced Fullstack Developer with a strong focus on Backend development.
We are the software craftsmen behind the digital products of all media brands of our client — a Belgium-based telecommunication company — as well as internal applications that keep the business running.

Our work enables the biggest news and entertainment brands in the Netherlands and Belgium through technology.

Your Main Responsibilities

• Development of new APIs to support clients and fixing bugs
• Upgrading and maintaining backend and frontend applications
• Identifying opportunities to improve the product
• Maintaining and developing a high-quality user experience across existing applications and services in the cloud
• Accelerating the development of services in a fast-moving technical environment

What You Will Do as a Java Backend Developer

• Develop and maintain cloud-based applications and services used across the organization
• Collaborate closely with business stakeholders, developers, architects, and product owners
• Balance fast business delivery with awareness of technical debt
• Ensure quality, security, and long-term maintainability of solutions
• Work collaboratively within an agile squad environment

Must Have (Core Requirements)

Backend & Architecture

• Java 21+ with recent project experience and deep ecosystem knowledge
• Spring Boot 3 / Spring Framework 6
  • Web, Security, Caching, JMS
• Microservices architecture (3+ years of experience)

Cloud & Infrastructure

• AWS (5+ years):
  • ECS Fargate, SNS, SQS, CloudWatch, CloudFormation
  • API Gateway and general cloud security

Databases

• MongoDB (3+ years) — basic CRUD operations
• Relational databases — SQL Server or PostgreSQL (basic CRUD)

Frontend

• 1+ year of experience with React.js, JavaScript
• Front-end test automation

Web & APIs

• Modern web standards: HTTP, REST, JSON

Agile & Tools

• Scrum, Kanban, XP
• Atlassian stack: Jira, Confluence, Bitbucket

Communication

• Professional fluency in English (written and spoken)

Nice to Have (Bonus Assets)

• Advanced Spring Boot: AOP, OpenFeign
• Advanced data experience:
  • MongoDB Aggregation Framework
  • Snowflake, DBT, or Airflow
• Serverless technologies:
  • AWS Lambda (1+ year)
  • DynamoDB
• Alternative frameworks: Quarkus, Thymeleaf
• Domain knowledge:
  • EU GDPR compliance
  • Selligent (Marigold) platform

Personal Qualities

• Strong communication and collaboration skills
• Responsibility and focus on quality over quantity
• Ability to identify technical debt risks
• Passion for fast-evolving technologies
• Security-first mindset