Jobs Data Engineer

As needed, business trips to European countries may be required, so readiness for such travel is important.

Company - venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems.
Long-term, full-time

What you'll do:
Deploy with customers on site globally to support software integration and development activities.
Become an expert user of the enterprise software stack and its various autonomy modules.
Provide technical support and training to customers.
Develop AI & Autonomy applications using the enterprise software development kit
Assist the sales team in pre-sales activities, e.g., demos, conferences, immersions
Assist in post-sales deployment and integration of the enterprise software products.
Develop and maintain technical documentation and training materials.
Help customers debug software/API integration issues.
Collaborate with the product engineering team to address customer feedback and improve products.

Required qualifications:
5+ years of experience of industry experience
2+ years of experience in an integration/applications engineering role
2+ years of experience working in a startup environment.
Strong technical background in software engineering.
Strong proficiency in writing modern C++ code.
Intermediate proficiency in writing Python code.
Excellent problem-solving and analytical skills.
Strong communication and interpersonal skills.

Preferred qualifications:
Experience in the defense aviation or robotics industry.
Experience building and running a small enterprise software applications/solutions engineering team

We are looking for a Senior Data Engineer to work ona  modern data platform project focused on processing and enriching data from multiple external sources to support advanced analytics, ML workflows, and business decision-making.

We’re looking for someone with strong experience in:
• Python
• SQL
• Snowflake
• dbt
• Databricks / PySpark
• ETL/ELT pipelines
• Production-grade data systems
• ML / analytics-related data workflows

It’s a fully remote role within Europe or LATAM, with flexible working hours and long-term collaboration opportunities.

Akvelon works with clients such as Amazon, Reddit, Pinterest, Starbucks, LinkedIn, Intel, and many others, offering strong engineering culture, professional growth, certifications, workshops, and internal learning programs.

Would you be open to a quick chat to discuss the opportunity in more detail?

Integration Engineer (Data & Systems)

Location: Ukraine (remote, US-based company)

About the Role

We’re looking for a strong Integration Engineer / Data Architect hybrid who will own and scale our internal systems ecosystem.

This role sits at the intersection of engineering, data, and business operations. You will design and maintain integrations between our core platforms, ensure data consistency across systems, and build a reliable analytics foundation for decision-making.

If you enjoy connecting systems, automating workflows, and turning messy data into structured insights — this role is for you.

What You’ll DoSystems Integration & Automation

• Design and maintain integrations between HubSpot, Kantata (ERP), ClickUp, Rippling, Slack
• Automate key business workflows (e.g., deal → project → workspace lifecycle)
• Ensure reliable and scalable data synchronization across systems

API & Backend Engineering

• Build custom integrations using Python / Node.js
• Work with REST APIs, webhooks, OAuth
• Handle real-world API challenges: rate limits, retries, async flows
• Deploy solutions in serverless environments (AWS Lambda / GCP)

iPaaS & Workflow Orchestration

• Use tools like Azure Logic Apps / Workato / Celigo
• Decide when to use no-code vs custom solutions
• Build scalable and maintainable integration architecture

Data Modeling & Analytics (Power BI)

• Own the enterprise data model
• Build and maintain Power BI dashboards
• Define key metrics: utilization, margin, backlog, ROI
• Ensure a single source of truth across the company

Reliability & Monitoring

• Implement monitoring, alerting, and failure recovery
• Build self-healing integrations
• Ensure no data loss across pipelines

What This Role Is NOT

• Not IT support / not IAM / not device management
• Not defining business rules — you implement them technically

Requirements

• 4–7+ years in integration / backend / BI / data engineering
• Strong experience with:
  • Power BI (DAX, data modeling)
  • SQL
  • APIs (REST, webhooks, OAuth)
• Experience with Python or Node.js
• Experience with iPaaS tools (Workato, Celigo, Boomi, Azure Logic Apps)
• Ability to communicate with non-technical stakeholders
• Fluency in English (B1-B2 level)

Nice to Have

• Experience with HubSpot / Kantata / Rippling / ClickUp
• Experience in AEC / professional services companies
• Background in finance-related data modeling

What Success Looks Like (First 6 Months)

• Core integrations are live and stable
• HubSpot → ERP automation fully working
• Data pipelines are reliable and monitored
• Power BI becomes the single source of truth

What we offer:

• A modern office with a strong focus on your comfort, along with high-quality hardware and software
• Medical insurance and paid vacation
• Free access to conferences, forums, and courses for professional development
• Team buildings and corporate events
• Compensation for sports activities and English learning
• And many other benefits!

Our main value is people, which is why we create an environment that encourages personal growth, freedom and responsibility, trust, and support in bringing your ideas to life.

We are looking for a Senior Data Engineer. This is not a standard ETL role. You will work on a high-load system processing 10,000+ executions per minute, building scalable pipelines where AI and LLM logic are embedded directly into production data flows.

The role combines data engineering, backend thinking, infrastructure ownership, and real production AI integration.

What you will do:

• Design and maintain scalable data pipelines in Python on Google Cloud Platform
• Build and optimize AI-driven scoring flows using LLMs for real-time identity enrichment
• Work with BigQuery, Apache Spark, and Apache Iceberg for heavy data processing
• Maintain high-load orchestration with custom Python nodes and complex workflows
• Own deployment and release processes (CI/CD)
• Optimize PostgreSQL performance under heavy load
• Investigate incidents and resolve root causes permanently

• Use AI engineering tools such as Claude in daily development

   

Requirements:

• 4+ years of experience in Data Engineering / Backend Engineering
• Strong Python skills
• Commercial experience with production LLM integration (OpenAI / Anthropic / Gemini)
• Strong knowledge of GCP (Cloud Functions, IAM, Networking)
• Experience with BigQuery, Spark, Iceberg
• Good understanding of Kubernetes
• Experience with workflow orchestration tools (n8n is a strong plus)
• Strong practical knowledge of PostgreSQL

• English level B2+

   

What is important for us:

• Ownership mindset
• Fast learning ability
• Strong problem-solving approach
• Active AI usage in engineering work
• Focus on practical results over unnecessary complexity

Mid-Level Data Engineer — AI & HealthTech

About the Role

We are looking for a Mid-Level Data Engineer to help build and scale our in-house AI systems focused on the health and fitness industry. 

You will work closely with Senior ML engineers and backend developers to design data pipelines, optimize large datasets, and support machine learning infrastructure used across our platform.

This role is ideal for someone who enjoys solving data challenges, thinks out of the box, and contributing to AI-driven products that impact real users.

Responsibilities

• Build and maintain scalable ETL/ELT data pipelines
• Structure and optimize large health, fitness, and behavioral datasets
• Support AI/ML workflows and data preparation for model training
• Design efficient database schemas and data architectures
• Work with APIs, third-party integrations, and real-time data processing
• Monitor data quality, integrity, and performance
• Collaborate with engineering and AI teams on internal tooling and automation
• Improve infrastructure for analytics and AI deployment

Requirements

• 2–4+ years of experience as a Data Engineer or similar role
• Strong experience with SQL and relational databases
• Experience with Python for data processing and automation
• Familiarity with cloud platforms such as AWS or Azure
• Experience with data warehousing and pipeline tools
• Understanding of AI/ML data workflows is a strong advantage
• Ability to work independently and solve complex technical problems
• Strong communication and documentation skills

Nice to Have (Not must)

• Experience working with healthcare, medical or fitness-related data
• Knowledge of vector databases, embeddings, or LLM infrastructure
• Experience with Airflow, Kafka, Spark, or similar tools
• Exposure to analytics and BI platforms

What We Offer

• Flexible remote-friendly environment
• High ownership and fast-moving team culture
• Competitive salary with bonuses.
• Long-term growth opportunities.

Location

Remote / Hybrid (Preferred overlap with EU or US time zones)

We are looking for a Senior Data Engineer to join our growing team. In this role, you will help build and scale modern data infrastructure and pipelines that power analytics, business intelligence, product insights, and operational decision-making across our omni-channel commerce platform.
 

Responsibilities

• Design, build, and maintain scalable, reliable data pipelines and infrastructure across cloud environments.
• Develop and manage ETL/ELT workflows to ingest, transform, and load data from multiple sources into data warehouses and data lakes.
• Partner closely with product, engineering, analytics, and business teams to ensure trusted, accessible, and timely data across the organization.
• Optimize data storage, modeling, and query performance to support reporting, analytics, and operational use cases.
• Build and maintain batch and real-time data processing systems using modern tools and frameworks.
• Improve data reliability and quality by implementing monitoring, validation, alerting, and observability practices.
• Support deployment, scalability, and orchestration of data workloads using containerization and workflow automation tools.
• Implement and maintain CI/CD pipelines for data workflows and infrastructure.
• Ensure data governance, privacy, and security standards are upheld across all data systems.
• Contribute to architecture decisions, code reviews, documentation, and best practices for data engineering.
• Stay current with emerging technologies and best practices in data engineering to continuously improve platform capabilities.

Requirements

• Excellent communication skills, including fluent verbal English, with the ability to explain technical concepts to non-technical stakeholders and collaborate effectively across teams.
• Proven experience as a Data Engineer, with strong hands-on experience building and managing production-grade data pipelines.
• Strong proficiency with cloud platforms such as AWS and/or Azure, including modern data services.
• Experience with Python and strong SQL skills for data transformation, automation, and analysis.
• Experience with distributed data processing and streaming technologies such as Apache Spark, Kafka, or similar tools.
• Familiarity with workflow orchestration tools such as Airflow, DBT, or equivalent.
• Experience with data warehousing and lakehouse technologies such as Snowflake, Redshift, BigQuery, Databricks, or similar platforms.
• Solid understanding of ETL/ELT design patterns, data modeling, and data architecture best practices.
• Experience with Docker, Kubernetes, or other containerization and orchestration technologies.
• Familiarity with relational and NoSQL databases such as PostgreSQL, MongoDB, or Cassandra.
• Experience with version control systems such as Git.
• Strong problem-solving skills and a proactive approach to performance optimization, troubleshooting, and continuous improvement.

Preferred Qualifications

• Experience with data governance, security, and privacy best practices in cloud environments.
• Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation.
• Experience supporting analytics, machine learning, or reporting use cases with well-structured data systems.
• Knowledge of BI and visualization tools such as Power BI or Tableau.
• Previous experience working in agile, cross-functional product and engineering teams.
• Experience in retail, e-commerce, omni-channel commerce, or POS platforms is a strong plus.

Why PredictSpring?

• Join a category-leading company transforming the future of retail and omni-channel commerce.
• Work with innovative technology powering seamless online and in-store customer experiences.
• Collaborate with a talented, global team in a flexible remote work environment.
• Enjoy opportunities for professional growth and career development.
• Make a direct impact on products used by some of the world’s most recognized retail brands.
• Be part of a fast-moving, collaborative, and customer-focused culture at the forefront of commerce innovation.

We are looking for an experienced Senior Data Scientist to join our team and help unlock the full value of data across our platform, products, and business operations. In this role, you will apply advanced analytics, machine learning, and statistical modeling to generate actionable insights, improve decision-making, and drive innovation across the organization.

Responsibilities

• Analyze large, complex datasets to uncover trends, patterns, and insights that support strategic business and product decisions.
• Build predictive models to forecast business outcomes, improve operational efficiency, and support decision-making across multiple functions.
• Design and implement feature engineering techniques to improve machine learning model performance and accuracy.
• Partner with cross-functional teams including product, engineering, operations, and business stakeholders to identify opportunities and translate them into scalable data science solutions.
• Clean, preprocess, and structure data from multiple sources to ensure high-quality inputs for analysis and modeling.
• Develop, test, and deploy machine learning models for use cases such as classification, regression, clustering, recommendation systems, and forecasting.
• Evaluate and optimize model performance using appropriate statistical and machine learning metrics.
• Create dashboards, reports, and visualizations that clearly communicate findings and recommendations to technical and non-technical audiences.
• Automate recurring analysis, reporting, and model workflows to improve efficiency and consistency.
• Monitor production models and continuously improve performance, reliability, and business impact over time.
• Stay current with the latest advancements in data science, machine learning, and AI, and apply relevant innovations to PredictSpring’s platform and operations.

Requirements

• Excellent communication skills, including fluent verbal English, with the ability to explain complex concepts to non-technical stakeholders and collaborate effectively across teams.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Scientist, with a strong background in machine learning, statistical analysis, and predictive modeling.
• Strong programming skills in Python preferred, or similar languages such as R, with hands-on experience using libraries such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
• Expertise in building and deploying machine learning models for classification, regression, time-series forecasting, recommendation systems, and related applications.
• Strong experience with data wrangling, feature engineering, and working with structured and unstructured datasets.
• Proficiency in SQL for querying, transforming, and analyzing structured data.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud for model deployment and data workflows.
• Experience with data visualization tools such as Power BI, Tableau, or Python visualization libraries.
• Strong analytical thinking, problem-solving ability, and a passion for applying data science to real-world business challenges.

Preferred Qualifications

• Familiarity with big data and distributed processing tools such as Apache Spark, Hadoop, or Databricks.
• Experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch.
• Experience with natural language processing techniques such as text classification, sentiment analysis, or large language model applications.
• Strong foundation in statistical analysis, experimentation, and hypothesis testing.
• Experience collaborating with or supporting data engineering teams in building scalable data pipelines.
• Familiarity with version control tools such as Git.
• Strong business acumen and the ability to align technical solutions with business goals.
• Experience in retail, e-commerce, omni-channel commerce, or POS technology is a strong plus.

Why PredictSpring?

• Join a market-leading company shaping the future of omni-channel retail and modern POS.
• Work on high-impact challenges at the intersection of commerce, data, and customer experience.
• Collaborate with a talented global team in a flexible remote work environment.
• Enjoy opportunities for growth, learning, and professional development.
• Contribute to products used by some of the world’s most recognized retail and lifestyle brands.
• Be part of an innovative, collaborative, and data-driven culture focused on delivering measurable business value.

We’re hiring a Senior Web Engineer to help build and scale the public-facing website of a fast-growing AI & data company. This role is ideal for someone passionate about crafting high-performance marketing websites, exceptional UX, and engaging digital storytelling.

You’ll work closely with design and marketing teams to create beautiful, scalable experiences that showcase cutting-edge AI and ML products.

 What You’ll Do:
• Lead the development of new feature pages, blog revamps, and major website initiatives
• Build CMS-powered interfaces using Sanity for easy content management
• Maintain and evolve the company’s design system for speed and consistency
• Develop interactive animations and storytelling experiences using Motion / GSAP
• Ensure pixel-perfect execution with strong attention to brand identity and UX

 Requirements:
• Strong experience with modern frontend technologies
• Experience building high-quality marketing websites
• Strong UI/UX and design implementation skills
• Experience with CMS integrations (Sanity preferred)
• Familiarity with animation libraries like GSAP or Motion
• Ability to lead projects from scoping to deployment

- Remote-friendly opportunity
-Work on innovative AI/ML product experiences
 

We are looking for a Senior Data Engineer to join a project in the tech capital of the world – Silicon Valley.

Project Idea

The project was founded back in 2014 with the goal of connecting private and government universities with regular people like we are. You have a variety of auditoriums, gyms, classrooms, and other venue options available for community use –
schedule facility uses and manage requests from the community all in one place.

Just imagine that you’re a football player and you can rent a football field at Harvard to play with your friends. Amazing, right?

Must have:

• 4+ years of experience in Data Engineering or related roles;
• Strong SQL skills and hands-on experience with PostgreSQL (including Aurora Serverless);
• Solid knowledge of Python for data processing and automation;
• Experience building and maintaining ETL/ELT pipelines using cloud-native tools (e.g., AWS Lambda, S3, SQS);
• Proven experience working with MongoDB and MongoDB Atlas, including event-driven architectures using Atlas Triggers, Stream Processing;
• Proficiency with dbt for building modular, testable, and well-documented data transformation workflows;
• Good understanding of data modeling principles for OLAP/OLTP systems, including normalization and dimensional modeling;
• Demonstrated experience designing and implementing data warehouses and data marts;
• Working knowledge of Node.js, particularly in backend logic tied to data ingestion or transformation workflows;
• Familiarity with cloud data platforms (e.g., AWS) and serverless computing patterns;
• A technical degree (e.g., Computer Science, Engineering, Math) is a plus;
• Upper-Intermediate English or higher for effective communication and documentation.

Soft skills:

• Proactive – you take ownership and act without waiting for direction;
• Detail-oriented – you deliver accurate, high-quality work;
• Initiative-driven – you’re eager to improve processes and take action.

Responsibilities:

• Design, implement, and maintain scalable and reliable data pipelines using Python, dbt, and AWS Lambda;
• Build and optimize data architectures to support analytics, reporting, and machine learning use cases, including data warehouse and data mart modeling on PostgreSQL (Aurora Serverless);
• Develop and manage ELT workflows that extract data from MongoDB (using Atlas triggers) and load into staging and production layers in PostgreSQL;
• Ensure data consistency and lineage by applying robust data quality checks, auditing, and reconciliation logic;
• Collaborate with cross-functional teams to gather data requirements, understand business logic, and translate them into efficient data models and transformations;
• Monitor and troubleshoot SQS/Lambda-based ingestion pipelines, addressing issues related to concurrency, message processing, and data duplication;
• Contribute to the semantic layer design used by BI and reporting tools to ensure consistency and accessibility of business metrics;
• Maintain and evolve dbt models (staging, intermediate, and marts) aligned with software engineering and analytics best practices;
• Drive continuous improvement in data engineering processes and data governance standards, ensuring scalability, maintainability, and security.

Job Description 

We are seeking a Middle Multimedia Engineer to join our engineering team working on advanced audio/video streaming solutions for embedded platforms. The ideal candidate will have strong hands-on experience with GStreamer and a deep understanding of multimedia systems, media pipelines, and streaming technologies. 

Technical Requirements 

• 6+ years of software development experience in multimedia or system-level environments 
• Good hands-on experience with GStreamer (must-have): 
  • building and debugging media pipelines 
  • working with elements, pads, caps, plugins 
  • troubleshooting latency, synchronization, and performance issues 
• Strong programming skills in C++ OR Java (must-have) for system-level or multimedia applications 
• Strong understanding of audio & video streaming technologies and protocols (RTP, RTSP) (must-have) 
• Experience with video/audio codecs (H.264, H.265, VP9, AAC, Opus) 
• Experience with Video4Linux (V4L2) 
• Hands-on experience with Embedded Linux OR Embedded Android (must-have) 
• Understanding of networking fundamentals: TCP, UDP, HTTP 
• Ability to troubleshoot across software layers (middleware, OS, hardware interaction) 
• Experience with Git (version control systems) 
• Excellent problem-solving, critical thinking, communication skills 

Nice to Have 

• Experience with Embedded Android OR Android BSP (AOSP) 
• Familiarity with multimedia systems: 
  • Android Audio OR SurfaceFlinger 
  • ffmpeg, VAAPI, OpenMAX, OpenGL 
• Experience with WebRTC 
• Experience with camera integration OR camera subsystem customization 
• Knowledge of hardware-accelerated media pipelines 
• Scripting experience (Bash OR Python) 

Responsibilities 

• Design, develop, and maintain multimedia middleware components 
• Build, integrate, and optimize GStreamer-based audio/video pipelines. Integrate media components with user-space applications and system services 
• Debug and resolve complex media issues related to performance, stability, and synchronization 
• Drive technical discussions and contribute to architecture decisions 
• Collaborate with hardware, platform, and application teams 
• Support board bring-up and hardware validation related to audio/video subsystems 

Are you passionate about building scalable, reliable data systems that power real-world solutions? We are looking for a Senior Data Engineer to join our team and work remotely from Europe, Ukraine, or LATAM.

At Sigma Software, we partner with innovative companies to deliver cutting-edge technology solutions. This role offers the opportunity to design and operate a canonical data platform that integrates diverse external data sources, ensuring high quality and flexibility.

Why join us? You’ll work with modern technologies, collaborate with talented professionals across multiple regions, and have the freedom to experiment and innovate while contributing to impactful projects in the AdTech domain.

Customer

Our client is a fast-growing AdTech company focused on solving real-world challenges in digital advertising and data-driven marketing. They specialize in building highly resilient and scalable systems that encourage experimentation and innovation. Their data platform is designed to be both powerful and flexible, enabling engineers to introduce new ideas and leverage the latest technologies to optimize advertising performance and audience insights.

Project

The project involves developing and maintaining a canonical data platform that integrates multiple external data sources. It supports both full data loads and incremental updates, ensures high data quality, and leverages AI-assisted tools for monitoring and issue detection.

Key Technologies: Java, Scala, SQL, GCP Dataflow, REST APIs, AI-assisted tools, event-driven architectures

Responsibilities

• Design, build, and maintain reliable data pipelines to ingest and process data from external systems
• Implement integrations using Java or Scala, ensuring scalability and resilience
• Handle both full data loads and incremental updates efficiently
• Collaborate with engineering and product teams to align on integration and data needs
• Develop and maintain a unified internal data model
• Ensure data quality, detect and resolve incorrect or incomplete data
• Utilize AI-assisted tools to improve data quality and operational efficiency
• Monitor and optimize data pipelines for production readiness

Requirements

• At least 5 years of experience as a Data Engineer or Backend/Data Engineer
• Strong production experience with Java or Scala
• Proven experience integrating external systems via REST APIs (pagination, rate limiting, token-based authentication)
• Strong data modelling skills with structured, relational data
• Solid SQL knowledge
• Experience with GCP Dataflow
• Experience operating data pipelines in production environments
• Strong communication skills and ability to collaborate across teams
• At least an Upper Intermediate level of English

WILL BE A PLUS:

• Experience with event-driven architectures or messaging systems
• Designing canonical schemas across multiple data sources
• Experience with LLM (Large Language Models)

Personal Profile

• Proactive and detail-oriented
• Thrives in collaborative environments
• Enjoys solving complex integration challenges
• Comfortable experimenting with new technologies
• Committed to improving data systems

We are looking for an experienced Data Engineer to join a long-term B2C project. The main focus is on building Zero ETL pipelines, as well as maintaining and improving existing ones.

Responsibilities:
- Build and maintain scalable Zero ETL pipelines.
- Design and optimize data warehouses and data lakes on AWS (Glue, Firehose, Lambda, SageMaker).
- Work with structured and unstructured data, ensuring quality and accuracy.
- Optimize query performance and data processing workflows (Spark, SQL, Python).
- Collaborate with engineers, analysts, and business stakeholders to deliver data-driven solutions.

Requirements:
- 5+ years of experience in Data Engineering.
- Advanced proficiency in Spark, Python, SQL.
- Expertise with AWS Glue, Firehose, Lambda, SageMaker.
- Experience with ETL tools (dbt, Airflow etc.).
- Background in B2C companies is preferred.
- JavaScript and Data Science knowledge are a plus.
- Degree in Computer Science (preferred, not mandatory).

We offer:
1) Paid vacation and sick leave 

2)We provide the equipment you need to work comfortably (if required)

3)We cover 50% of courses if you want to grow professionally 

4)Regular salary reviews based on your performance 

5) Competitive salary, depending on your experience 

6) Always on-time payments — no delays 

7)A normal, supportive team without unnecessary bureaucracy 
 

Dataforest is looking for a Data Engineer to join an interesting software development project in the field of Cybersecurity. Our client’s platform offers Identity Insights drives real-time, multi-contextual digital forensics to protect new account opening workflows and expose fake accounts already in a customer database.

Requirements:
• 3+ years of hands-on experience in data engineering;
• 3+ years of commercial experience with Python;
• Advanced experience with SQL DBs (optimisations, monitoring, etc.);
• Advanced experience with PySpark;
• Solid understanding of ETL principles (architecture/ monitoring/ alerting/search and resolve bottlenecks);
• Familiar with AWS infrastructure (boto3, S3 buckets, etc);
• Experience working with large volumes of data;
• Understanding the principles of medallion architecture.

Responsibilities:
• Maintain data processing architecture using Python and PySpark that interacts with ScyllaDB & PostgreSQL.
• Work with Databricks infrastructure to ensure reliability, scalability, and cost efficiency.
• Proactively identify bottlenecks and suggest technical improvements.

Nice to have:

• Cassandra/Scylla

• PostgreSQL

• Pandas

• Experience with Kafka and Redis

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary fixed in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

Project Description:

We are seeking an RPA Developer for our client to join a multidisciplinary team that includes frontend and backend developers, data engineers, data scientists, QA engineers, cloud engineers, and project managers. The ideal candidate is a strong problem solver who can work independently in a fast-paced, evolving environment. Experience with Power Automate Desktop and the broader Power Platform is highly desirable, along with familiarity with Blue Prism. A working knowledge of Python and SQL is required—while deep expertise is not necessary, these technologies should be well understood and not new to the candidate.

Responsibilities:

• Design, develop, and deploy RPA solutions using Power Automate and Blue Prism
• Implement and configure RPA software robots to execute tasks and streamline processes
• Collaborate with cross-functional teams to integrate RPA solutions with existing systems and applications.
• Troubleshoot and resolve issues related to RPA processes and bots in a timely manner.
• Conduct unit testing and validation of RPA solutions to ensure accuracy and reliability.
• Stay updated on the latest RPA trends, tools, and best practices.

Mandatory Skills Description:

• Overall experience in a related field of more than 7 years
• Bachelor's degree in Computer Science or a related field.
• 2y+ experience with Power Automate Desktop
• Familiarity with Power Platform in general
• Familiarity with RPA concepts and tools (advantage if Blue Prism)
• Python programming skills
• Proficient with SQL
• Proficient with Python or C#
• Excellent problem-solving and troubleshooting skills.
• Effective communication and collaboration skills.
• Proactive attitude and a willingness to learn and adapt in a fast-paced environment.

Nice-to-Have Skills Description:

• Experience with performance testing and profiling
• Experience integrating with cloud infrastructure platforms, in particular Microsoft Azure
• Understanding of Financial Mathematics

Languages:

English: B2 Upper Intermediate

Looking for DevOps Engineer with French (B1+) language skills for an international project.
Work with cloud-native infrastructure on Microsoft Azure and Kubernetes, supporting CI/CD, monitoring, automation, and AI integrations.

Requirements: 5+ years of DevOps/Cloud Engineering experience, strong Azure and Kubernetes expertise, experience with GitLab, Prometheus/Grafana, ELK, NGINX/HAProxy/IIS, and scripting (Bash, PowerShell, Python).

Full remote, full-time, 7+ months project with possible extension.
English — B1+, French — B1+