DataArt

Client

Our client specializes in delivering comprehensive remote work solutions. Their services cover the complete lifecycle of equipment management, offering onboarding, engagement, retention, and wellness programs tailored to reduce costs for their clients.

Position overview

We are looking for an Experienced Senior DevOps Engineer to take ownership of an advanced AWS infrastructure. This role is crucial in maintaining the current setup and leading the migration to a scalable Kubernetes ecosystem based on GitOps principles.

Responsibilities

• AWS Infrastructure Management: Oversee and optimize the current AWS setup (v1) using ECS, Fargate, CodePipeline, and Terraform, ensuring scalability, security, and cost-efficiency
• Infrastructure as Code (IaC): Manage AWS resources with Terraform and maintain auditable infrastructure changes
• Kubernetes Migration: Lead the migration to Kubernetes (v2) on Amazon EKS using GitOps principles with ArgoCD and Helm
• Kubernetes Tools: Implement tools like Karpenter, Argo Rollouts, Reloader, External-DNS, and External-Secrets for efficient cluster management
• Container Orchestration: Manage containerized applications in ECS/Fargate and optimize performance
• CI/CD Pipelines: Build and maintain CI/CD pipelines with GitHub Actions and AWS CodePipeline, automating testing and deployments
• Programming: Create automation tools with Python or Go to improve operational workflows
• Collaboration: Partner with cross-functional teams and mentor junior engineers on best practices

Requirements

• A background in start-ups is essential for this position
• AWS Certified DevOps Engineer – Professional
• AWS Certified Solution Architect – Professional
• Certified Kubernetes Administrator (CKA)
• Monitoring and logging tools: Prometheus, Grafana, AWS X-Ray
• Network configuration and security within AWS, including account management best practices
• In-depth knowledge of AWS Managed Database Systems (RDS/Aurora)

Project overview

The project focuses on building and evolving a cloud‑based Business Intelligence platform using Qlik Cloud to support enterprise reporting, analytics, and self‑service data exploration. The work emphasizes data modeling, dashboard development, semantic layer design, and ensuring trusted, governed insights for business and operational stakeholders.

Team

You will work in a cross functional team including software engineers, QA specialists, and cloud engineers. The team collaborates in an Agile setup with shared responsibility for infrastructure, delivery pipelines, and platform stability.

Position overview

We are looking for a BI Engineer with hands‑on experience in Qlik Cloud to design, develop, and maintain business intelligence solutions. You will work closely with data, business, and platform teams to transform data into actionable insights, enabling decision‑making across the organization. The role combines strong analytical thinking with BI development, data modeling, and stakeholder collaboration.

Technology stack

Qlik Cloud Qlik Sense SaaS, Qlik Data Integration, SQL, PostgreSQL, SQL Server, Snowflake, BigQuery, Azure Cloud data platform, REST APIs, flat file integrations, Git

Responsibilities

• Design, develop, and maintain Qlik Cloud dashboards, applications, and reports
• Translate business requirements into clear data visualizations and KPIs
• Develop reusable measures, dimensions, and analytical data models in Qlik
• Create and maintain Qlik load scripts to ingest and transform data from multiple sources
• Ensure performance, usability, and scalability of Qlik applications
• Apply Qlik Cloud best practices for governed and self service analytics
• Collaborate with business stakeholders to understand reporting and analytics needs
• Support BI releases, enhancements, and ongoing improvements across environments
• Optimize existing dashboards and data models for clarity and performance
• Contribute to BI standards, templates, and development guidelines
• Stay informed about new Qlik Cloud features and analytics trends

Requirements

• 2 to 5 years of experience in a BI Engineer, BI Developer, or Analytics Engineer role
• Hands on experience with Qlik Cloud Qlik Sense SaaS
• Strong SQL skills and experience working with relational databases
• Experience designing analytical data models and KPIs
• Understanding of data visualization principles and dashboard UX
• Ability to work closely with business users and translate requirements into insights
• Strong analytical and problem solving skills

Nice to have

• Experience with Qlik Data Integration or other ETL or ELT tools
• Exposure to cloud based data warehouses
• Experience with data governance or data quality initiatives
• Basic scripting or automation experience
• Familiarity with CI CD concepts for BI assets
• Experience supporting enterprise or regulated environments

Client

Our client is the world’s leading music company, committed to artistry, innovation, and entrepreneurship.

Position overview

We are looking for a Senior Python Developer with strong expertise in Django and AWS to join our Release Products team. This role offers high autonomy and ownership, requiring you to design, build, and maintain production-ready backend services while contributing to infrastructure and CI/CD improvements.

You will work closely with a senior engineering team, taking responsibility for the production system and ensuring scalability, reliability, and performance. Ideal candidates are T-shaped engineers who thrive in fast-paced environments, can make independent technical decisions, and have hands-on experience with modern cloud and container technologies.

The project is exploring AI tools and approaches. We’re looking for someone interested in AI and familiar with the latest developments in the field.

Responsibilities

• Build and maintain Django backend services
• Own features end-to-end
• Contribute to infrastructure and CI/CD where applicable
• Work directly with a senior engineering team with minimal oversight
• Take responsibility for the production system, including troubleshooting and operational ownership

Requirements

• 6+ years of professional engineering experience
• Experience as a senior or lead-level contributor
• Production Django experience (not just Python)
• Strong in API design, data modeling, and performance optimization
• Solid AI skills and fluency in using AI tools, or a strong willingness and motivation to work with AI
• AWS expertise, including hands-on experience with EKS (not just theoretical Kubernetes)
• Experience with CI/CD pipelines using GitHub Actions
• Ability to troubleshoot production issues and ensure system stability
• Comfortable operating with high autonomy and making technical decisions independently
• Ability to ramp up quickly in existing production systems
• Strong communication skills and proactive approach
• T-shaped engineer (deep in one area, strong in another)
• Experience across backend + frontend or backend + infrastructure
• Used to working with experienced teams and minimal process

Client

Our client is the world’s leading music company, committed to artistry, innovation, and entrepreneurship.

Position overview

We are seeking a Senior Full Stack Engineer with deep expertise in Python/Django and React to join our Release Products team. This role offers high autonomy and ownership, requiring you to design, build, and maintain production-ready features across backend and frontend systems.

You will work closely with a senior engineering team, contributing to infrastructure and CI/CD improvements, and ensuring the stability and scalability of our production environment. Ideal candidates are T-shaped engineers who thrive in fast-paced, minimal-process environments and can make independent technical decisions while collaborating effectively.

Responsibilities

• Build and maintain Django backend services
• Contribute meaningfully to a React frontend
• Own features end-to-end (design → deploy → production)
• Contribute to infrastructure and CI/CD where applicable
• Work directly with a senior engineering team with minimal oversight
• Take responsibility for the production system

Requirements

• 6+ years of professional engineering experience
• Prior experience as a senior or lead-level contributor
• Comfortable operating with high autonomy
• Ability to ramp up quickly in existing production systems
• Strong communication skills and proactive approach
• Solid AI skills and fluency in using AI tools, or a strong willingness and motivation to work with AI
• T-shaped engineer (deep in one area, strong in another)
• Experience across backend + frontend or backend + infrastructure
• Comfortable making technical decisions independently
• Used to working with experienced teams and minimal process
• Production Django experience (not just Python)
• Strong in API design, data modeling, and performance awareness
• Modern React experience (hooks, component architecture)
• Experience shipping and maintaining production UIs

Project overview

The Exposure Platform is a long running enterprise data transformation initiative focused on replacing legacy SQL based logic with modern, scalable data processing solutions. The platform handles large data volumes and supports multiple business domains through a shared and business critical codebase. The work emphasises maintainability, performance, and strong software engineering practices across the organisation.

Team

You will work in a small cross functional data engineering team consisting of senior data engineers and software engineers. The team collaborates closely through code reviews, shared design discussions, and agreed engineering standards while contributing to a common codebase. The team is currently expanding and values structured collaboration and technical ownership.

Position overview

We are looking for a Senior Data Engineer to support a large scale transformation from SQL Server based systems to a Databricks and Delta Lake platform. You will focus on enterprise grade data engineering and software development, building maintainable and scalable data processing solutions used by multiple teams. This role is not focused on analytics or reporting, but on core data transformation and platform development.

Technology stack

Databricks, Delta Lake, Python, PySpark, SQL Server, Azure Data Factory, Azure DevOps, Git, CI CD pipelines

Responsibilities

• Read, understand, and reason about complex SQL stored procedures and embedded business logic
• Redesign and implement existing SQL logic as clean and maintainable Python and PySpark code in Databricks
• Develop production grade transformation code using reusable packages, modules, and components
• Apply software engineering best practices including clean code, object oriented design, modularisation, and refactoring
• Design and evolve data models across Bronze, Silver, and Gold layers
• Work with very large data volumes and highly parallel event driven data transformations
• Participate actively in code reviews and technical design discussions
• Contribute to the stability, scalability, and long term maintainability of the shared data engineering codebase

Requirements

• Strong experience with Python and PySpark in production data engineering environments
• Hands on experience working with Databricks and Delta Lake
• Strong SQL skills with the ability to read, analyse, and translate complex stored procedures
• Experience working in large shared codebases beyond notebook based development
• Solid understanding of object oriented programming and software engineering principles
• Experience applying clean code practices, refactoring, and maintainable design
• Strong background in data modelling, including transactional and analytical models
• Experience working with layered data architectures such as Bronze, Silver, and Gold
• Ability to analyse existing code line by line and explain technical and business logic clearly

Nice to have

• Experience with Power BI for data consumption or validation
• Exposure to enterprise scale data platforms in complex organisational environments

Client

Our client is a European vacation package provider focused on offering affordable travel packages. The project involves integrating new travel content suppliers (primarily for flights) into the client’s existing product. A Scala developer will join the team responsible for implementing integrations with travel systems supporting air booking.

Project overview

The goal of the project is to enable the client to integrate with various travel content providers—primarily offering flights and hotels—in order to create and manage their own custom tour packages.

Team

The team consists of 1 Team Lead, 1 Project Manager, 6 Developers, 1 Business Analyst, and 1 Solution Architect.

Position overview

The Scala Developer will be responsible for tasks related to the integration with Amadeus, a global travel technology provider.

Responsibilities

• Demonstrate competence in containerization technologies, including Docker, Kubernetes, and OpenShift
• Possess knowledge of version control systems, particularly Git
• Apply experience in network security to enhance project integrity
• Work collaboratively in agile methodologies, contributing to the efficient development and delivery of projects

Requirements

• Minimum 4 years of experience working with Scala
• Hands-on commercial experience with the ZIO framework
• Proficiency in one or more leading cloud platforms (GCP preferred)
• Experience with Redis for caching and data storage
• Strong knowledge of REST and SOAP web services
• Background in network security principles and practices
• Familiarity with Agile methodologies and workflows
• Experience with Google BigQuery for data analytics
• Solid understanding of Data Warehousing (DWH) concepts
• Experience building and managing data pipelines
• Proficiency in SQL for querying and data manipulation

Nice to have

• Hands-on experience with MySQL DB
• Experience with Kubernetes, OpenShift
• Experience working with Docker
• Experience with Terraform
• Experience with GitHub Actions
• Basic knowledge of Ruby, Ruby on Rails, Python

Project overview

The project focuses on building a governed conversational BI solution on Databricks using Genie. It includes designing scalable data architecture, implementing strong data governance with Unity Catalog, and enabling reliable SQL and AI-driven data consumption through well-defined semantic models.

Responsibilities

• Define and oversee the governed conversational BI architecture on Databricks using Genie
• Ensure governance from day zero, including compliance with Unity Catalog policies for all data assets
• Implement RBAC, row-level security (RLS), lineage, and audit logging
• Design and validate the Medallion architecture (Bronze / Silver / Gold layers)
• Define CI/CD processes in Azure Pipelines for semantic model management
• Oversee the setup of two Genie Spaces and ensure guardrail responses for out-of-scope questions
• Drive quality gates, benchmark cycles, and SME validation processes
• Build and maintain semantic models and knowledge structures
• Define data models for SQL and AI consumption

Requirements

• Experience with Databricks (on Azure), including Lakeflow pipelines
• Strong knowledge of Unity Catalog, including data governance, RBAC, and lineage
• Experience working with Genie (Databricks AI-powered analytics interface)
• Experience with CI/CD processes using Azure Pipelines for semantic model version control
• Strong SQL experience, including SQL Warehouse, Delta Lake, and Gold schema management
• Knowledge of PII masking, encryption, and audit/compliance frameworks
• Experience with template-based deterministic SQL design

Client

Our client specializes in delivering comprehensive remote work solutions. Their services cover the complete lifecycle of equipment management, offering onboarding, engagement, retention, and wellness programs tailored to reduce costs for their clients.

Position overview

We are looking for an Experienced Senior DevOps Engineer to take ownership of an advanced AWS infrastructure. This role is crucial in maintaining the current setup and leading the migration to a scalable Kubernetes ecosystem based on GitOps principles.

Responsibilities
 

• AWS Infrastructure Management: Oversee and optimize the current AWS setup (v1) using ECS, Fargate, CodePipeline, and Terraform, ensuring scalability, security, and cost-efficiency
• Infrastructure as Code (IaC): Manage AWS resources with Terraform and maintain auditable infrastructure changes
• Kubernetes Migration: Lead the migration to Kubernetes (v2) on Amazon EKS using GitOps principles with ArgoCD and Helm
• Kubernetes Tools: Implement tools like Karpenter, Argo Rollouts, Reloader, External-DNS, and External-Secrets for efficient cluster management
• Container Orchestration: Manage containerized applications in ECS/Fargate and optimize performance
• CI/CD Pipelines: Build and maintain CI/CD pipelines with GitHub Actions and AWS CodePipeline, automating testing and deployments
• Programming: Create automation tools with Python or Go to improve operational workflows
• Collaboration: Partner with cross-functional teams and mentor junior engineers on best practices
   

Requirements
 

• A background in start-ups is essential for this position
• AWS Certified DevOps Engineer – Professional
• AWS Certified Solution Architect – Professional
• Certified Kubernetes Administrator (CKA)
• Monitoring and logging tools: Prometheus, Grafana, AWS X-Ray
• Network configuration and security within AWS, including account management best practices
• In-depth knowledge of AWS Managed Database Systems (RDS/Aurora)

Client

Our client is an international SaaS company developing tools that empower businesses to create highly engaging digital experiences. Their solutions are trusted by thousands of organizations worldwide to collect, analyze, and act on user data effectively.

Project overview

The project is an interactive form builder designed for marketers, researchers, HR, sales, and customer experience teams to create engaging, conversational online forms, surveys, and quizzes.

Key Features:
Visually appealing conversational design optimized for high completion rates;
AI-powered data interpretation;
Workflow and logic builders for personalized experiences;
Brand customization options;
Seamless integrations with various tools to automate data collection and streamline workflows.

Position overview

We are seeking a highly skilled Full Stack Developer with deep expertise in Golang (backend) and React/TypeScript (frontend). The ideal candidate will take ownership of the full development workflow—from understanding business requirements, creating tasks, writing and testing code, through deployment and monitoring. This role requires strong autonomy, proactive communication, and the ability to deliver reliable, scalable solutions in a modern cloud environment.

This position operates according to the CET time zone.

Responsibilities

• Design, develop, and maintain backend services using Golang and frontend applications using React/TypeScript.
• Collaborate with product managers, designers, and other engineers to translate business requirements into technical solutions.
• Implement event-driven architectures leveraging Kafka for real-time data processing.
• Manage and optimize AWS environments, ensuring scalability and reliability.
• Define and maintain infrastructure using Terraform and deploy services in Kubernetes clusters.
• Build and maintain CI/CD pipelines in Jenkins for automated deployments.
• Ensure high-quality code through comprehensive testing and code reviews.
• Integrate AI tools and APIs (Claude, AWS Bedrock, Copilot) to enhance product capabilities.
• Monitor application performance and troubleshoot issues in production environments.
• Contribute to UI/UX improvements and ensure seamless integration between frontend and backend.
• Communicate progress, challenges, and solutions effectively within the team.
   

Requirements
 

• Strong, in-depth knowledge of Golang
• Experience delivering complex backend systems from design to production
• Solid background with Kafka and event-driven architectures
• Hands-on experience managing AWS environments
• Proficiency with Terraform for infrastructure-as-code
• Knowledge of deploying and operating services in Kubernetes
• Building CI/CD pipelines in Jenkins
• Proven ability to ensure quality through comprehensive testing
• Strong proficiency in React and TypeScript
• Experience contributing to front-end features, UI components, and client-side logic
• Ability to seamlessly integrate frontend with backend services
   

Nice to have
 

• Familiarity with AI tools and APIs (Claude, AWS Bedrock, Copilot)
• Excellent English communication skills (written and spoken)
• Self-driven and able to work independently while managing workload effectively

DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries. Our world-class team designs and engineers data-driven, cloud-native solutions to deliver immediate and enduring business value.
Our long-term approach to collaboration with clients and colleagues alike focuses on building partnerships that extend beyond one-off projects. We provide the ability to switch between projects and technology stacks, creating opportunities for exploration through our learning and networking systems to advance your career.

Accelerate your career with DataArt’s paid internship program designed for aspiring Quality Assurance Analysts (QAA). Successfully complete the internship and demonstrate your capabilities during the evaluation period to earn the Junior QAA qualification and the opportunity for full-time employment at DataArt.

Responsibilities

• Assist in creating and executing manual and automated test cases
• Identify, report, and track software defects
• Collaborate with development teams to ensure quality throughout the delivery cycle
• Learn and apply QA automation tools and testing frameworks
• Participate in test planning and contribute to improving test processes
• Required Skills & Experience:
• Practical programming experience with concepts such as class constructors, data types, collections, lambdas, method overriding and overloading, static/final modifiers, etc.
• Solid understanding of Object-Oriented Programming (OOP) principles
• Basic knowledge of software testing concepts (testing purpose, bugs, test cases)
• Awareness of QA Automation and the responsibilities of a Quality Assurance Automation (QAA) Engineer
• Strong spoken English communication skills

Requirements

• Basic understanding of databases and experience writing queries
• Experience with testing frameworks such as TestNG, NUnit, Jest, PyTest, or similar
• Hands-on experience or familiarity with QA automation tools and processes
• Knowledge of test types, test design techniques, and advanced testing concepts
• Understanding of client-server applications, including HTTP requests (GET/POST)

Position overview

Gain hands-on experience, level up your skills, and learn to work independently on real IT projects.
Prove your expertise during the test period, and if you meet the required professional level, you’ll earn a Junior QA qualification—with the opportunity to join DataArt full-time.

Requirements

• Basic knowledge of manual testing (types of tests, methodologies of organizing testing processes, test design techniques)
• Basic knowledge of databases and skills working with at least one of database management systems (one of the following: MSSQL, Oracle, MySQL, PostgreSQL, etc.)
• Excellent spoken English

Nice to have

• Practical and/or theoretical knowledge of API and mobile testing

Client

Our client is one of the world’s top 20 investment companies headquartered in Great Britain, with branch offices in the US, Asia, and Europe.

Project overview

The company’s IT environment is constantly growing, with around 30 programs and more than 60 active projects. They are building a data marketplace that aggregates and analyzes data from multiple sources such as stock exchanges, news feeds, brokers, and internal quantitative systems.

As the company moves to a new data source, the main goal of this project is to create a golden source of data for all downstream systems and applications. The team is performing classic ELT/ETL: transforming raw data from multiple sources (third-party and internal) and creating a single interface for delivering data to downstream applications.

Position overview

We are looking for a Data Engineer with strong expertise in DBT, Snowflake, and modern data engineering practices. In this role, you will design and implement scalable data models, build robust ETL/ELT pipelines, and ensure high-quality data delivery for critical investment management applications.

Responsibilities

• Design, build, and deploy DBT Cloud models.
• Design, build, and deploy Airflow jobs (Astronomer).
• Identify and test for bugs and bottlenecks in the ELT/ETL solution.

Requirements

• 5+ years of experience in software engineering (GIT, CI/CD, Shell scripting).
• 3+ years of experience building scalable and robust Data Platforms (SQL, DWH, Distributed Data Processing).
• 2+ years of experience developing in DBT Core/Cloud.
• 2+ years of experience with Snowflake.
• 2+ years of experience with Airflow.
• 2+ years of experience with Python.
• Good spoken English.

Nice to have

• Proficiency in message queues (Kafka).
• Experience with cloud services (Azure).
• CI/CD knowledge (Jenkins, Groovy scripting).

Client

Our client is a leading AI‑powered workforce transformation and talent management platform.

Position overview

We are seeking a Senior Data Engineer / Team Lead to join a rapidly growing data organization powering an AI-driven HR technology platform used by enterprise customers worldwide.

This is a hands-on senior engineering role focused on building, operating, and evolving a modern data platform leveraging Google BigQuery and Kubernetes-based services. The position blends data engineering, analytics enablement, and platform ownership to deliver reliable, scalable, and high-quality data solutions used across internal teams and customer-facing analytics products.

The successful candidate will collaborate closely with product, engineering, and analytics teams to build robust data pipelines, enable reporting capabilities, and contribute to technical best practices and platform evolution. During an initial transition period, the role may also include technical leadership responsibilities until a dedicated Engineering Manager joins.

Responsibilities

• Design, build, and maintain scalable data pipelines using modern ELT practices.
• Develop and optimize data models within BigQuery and ensure performance, reliability, and cost efficiency.
• Operate and enhance Kubernetes‑based data services as part of the data platform.
• Build clean, reusable datasets to support analytics and reporting needs.
• Support the development of customer‑facing dashboards and analytics features.
• Define and maintain core business metrics and the associated data transformations.
• Enable self‑service data access for internal teams across the organization.
• Implement monitoring, alerting, and observability for all data workflows and pipelines.
• Ensure data correctness, consistency, and overall operational stability.
• Troubleshoot production data issues and drive improvements to system resilience.
• Provide technical guidance and mentorship to engineers during the transition period.
• Participate in design discussions, architecture decisions, and engineering best practices.
• Collaborate closely with product, analytics, and engineering teams to deliver scalable solutions.
• Translate business requirements into well‑designed technical implementations.
• Contribute to continuous improvements in development workflows and team processes.

Requirements

• Strong experience with SQL and data modeling.
• Hands-on experience with Google BigQuery or comparable cloud data warehouses.
• Proven ability to build and operate data pipelines in production environments.
• Programming proficiency in Python, Java, or Node.js.
• Experience working with containerized environments, including Docker and Kubernetes.
• Solid understanding of modern ELT workflows and analytics engineering practices.
• Experience using dbt or similar data transformation frameworks.
• Background supporting customer-facing analytics products.
• Exposure to AI and machine learning data workflows.
• Experience implementing monitoring and alerting for production systems.
• Familiarity with Infrastructure as Code concepts, such as Terraform.
• Strong systems design capabilities and problem‑solving skills.
• Experience working in cloud-native engineering environments.
• Ability to clearly communicate technical concepts to cross-functional stakeholders.
• Comfortable operating in fast-paced product-driven environments.
• Strong ownership mindset with the ability to work autonomously.