Jobs Data Engineer

Phoenix Games is a technology company building next-generation iGaming and Web3 products for a global audience. We leverage AI, cloud technologies, blockchain, and advanced analytics to create intelligent, data-driven gaming experiences.

As we continue to scale, we're looking for Data Engineer / Data Scientist to help us build modern data infrastructure, develop machine learning solutions, and turn massive volumes of data into actionable insights.

What You'll Do

• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Develop and optimize data warehouses and data lake architectures.
• Collect, clean, and transform large datasets from multiple sources.
• Build predictive models, recommendation systems, and analytical solutions.
• Apply machine learning techniques to improve player engagement, fraud detection, personalization, and business intelligence.
• Design dashboards and reporting solutions for business stakeholders.
• Collaborate with Product Managers, Engineers, and BI teams to define data-driven strategies.
• Optimize data processing performance and ensure data quality.
• Implement monitoring, validation, and governance for data pipelines.
• Research and evaluate new AI and machine learning technologies.

Tech Stack

• Python
• SQL
• PostgreSQL
• Snowflake / BigQuery / Redshift
• Apache Airflow
• Spark
• Pandas
• NumPy
• Scikit-learn
• TensorFlow / PyTorch
• MLflow
• Docker
• Kubernetes
• AWS / Azure / GCP
• Git
• Power BI / Looker / Tableau

Requirements

• 2+ years of commercial experience in Data Engineering, Data Science, or Machine Learning.
• Strong Python programming skills.
• Advanced SQL knowledge.
• Experience building scalable data pipelines.
• Experience with cloud data platforms.
• Strong understanding of data modeling and database design.
• Experience with machine learning algorithms and model evaluation.
• Experience working with large datasets.
• Familiarity with Docker and cloud environments.
• Strong analytical and problem-solving skills.
• Upper-Intermediate English or higher.

Nice to Have

• Experience with LLMs, Generative AI, or AI agents.
• Knowledge of real-time data streaming (Kafka, RabbitMQ).
• Experience with feature engineering and MLOps.
• Experience with fraud detection or recommendation systems.
• Familiarity with blockchain analytics or Web3 ecosystems.

What We Offer

• Fully remote work from anywhere in Europe.
• Long-term B2B cooperation.
• Competitive salary paid in EUR or USD.
• Annual salary reviews.
• Performance-based bonus program.
• Annual company bonus.
• 25 paid vacation days.
• Paid sick leave.
• Flexible working hours.
• Home office budget.
• Laptop or equipment allowance.
• Learning & development budget for courses, certifications, conferences, and books.
• English language lessons.
• Private health insurance.
• Mental health support program.
• Sports and wellness compensation.
• Team-building activities and international company retreats.
• Opportunity to work on AI, Web3, blockchain, and large-scale data platforms.
• Clear career growth opportunities within a rapidly expanding international product company.

Why Join Phoenix Games?

At Phoenix Games, data is at the core of every product decision. You'll work with modern technologies, solve complex data challenges, and help build intelligent systems that power the next generation of online gaming.

If you're passionate about data engineering, machine learning, and creating impactful AI-driven solutions, we'd love to hear from you.

We are seeking a proactive Senior Data Engineer to join our vibrant team. As a Senior Data Engineer, you will play a critical role in designing, developing, and maintaining sophisticated data pipelines, Ontology Objects, and Foundry Functions within Palantir Foundry. The ideal candidate will possess a robust background in cloud technologies, data architecture, and a passion for solving complex data challenges.

Key Responsibilities:

• Collaborate with cross-functional teams to understand data requirements, and design, implement and maintain scalable data pipelines in Palantir Foundry, ensuring end-to-end data integrity and optimizing workflows.
• Gather and translate data requirements into robust and efficient solutions, leveraging your expertise in cloud-based data engineering. Create data models, schemas, and flow diagrams to guide development.
• Develop, implement, optimize and maintain efficient and reliable data pipelines and ETL/ELT processes to collect, process, and integrate data to ensure timely and accurate data delivery to various business applications, while implementing data governance and security best practices to safeguard sensitive information.
• Monitor data pipeline performance, identify bottlenecks, and implement improvements to optimize data processing speed and reduce latency. 
• Troubleshoot and resolve issues related to data pipelines, ensuring continuous data availability and reliability to support data-driven decision-making processes.
• Stay current with emerging technologies and industry trends, incorporating innovative solutions into data engineering practices, and effectively document and communicate technical solutions and processes.

Tools and skills you will use in this role:

• Palantir Foundry
• Python
• PySpark
• SQL
• TypeScript

Required:

• 5+ years of experience in data engineering, preferably within the pharmaceutical or life sciences industry;
• Strong proficiency in Python and PySpark;
• Proficiency with big data technologies (e.g., Apache Hadoop, Spark, Kafka, BigQuery, etc.);
• Hands-on experience with cloud services (e.g., AWS Glue, Azure Data Factory, Google Cloud Dataflow);
• Expertise in data modeling, data warehousing, and ETL/ELT concepts;
• Hands-on experience with database systems (e.g., PostgreSQL, MySQL, NoSQL, etc.);
• Proficiency in containerization technologies (e.g., Docker, Kubernetes);
• Effective problem-solving and analytical skills, coupled with excellent communication and collaboration abilities;
• Strong communication and teamwork abilities;
• Understanding of data security and privacy best practices;
• Strong mathematical, statistical, and algorithmic skills.

Nice to have:

• Certification in Cloud platforms, or related areas;
• Experience with search engine Apache Lucene, Webservice Rest API;
• Familiarity with Veeva CRM, Reltio, SAP, and/or Palantir Foundry;
• Knowledge of pharmaceutical industry regulations, such as data privacy laws, is advantageous;
• Previous experience working with JavaScript and TypeScript.

We are looking for a Data / Backend Engineer to architect and scale the core data infrastructure behind our healthcare marketing platform. In this role, you will design high-throughput data systems that process millions of behavioral events, power real-time attribution and user scoring, and enable precise targeting of healthcare professionals across 20+ channels.

You will work at the intersection of data engineering, backend systems, and marketing infrastructure, building scalable pipelines, tracking systems, and APIs that support analytics, segmentation, and campaign activation. The role also involves experimenting with AI-powered automation and agent-based workflows to improve internal operations and product capabilities.

This is a high-ownership position where you will shape architecture decisions, build critical platform components from the ground up, and help evolve our data platform as the company scales.

Responsibilities

- Architect and own data-heavy backend systems powering real-time attribution, user modeling, and scoring

- Build and evolve client-side tracking pixels (like FB pixel / Amplitude snippet / Heap autocapture) from scratch

- Set up and manage scalable ETL workflows: cleaning, merging, enriching, splitting, transforming across millions of behavioral events
Lead the build of CDP / CDXP-style data layers to support segmentation, scoring, and activation across channels

- Connect and compose systems using modern low-code / no-code tools (n8n) to accelerate ops

- Implement and maintain high-availability APIs for analytics, scoring, and campaign delivery

- Drive experimentation around AI-powered agents and automation tools that can boost internal workflows

Requirements

- System Design & Data Architecture:
Designs scalable, event-driven data platforms with strong decoupling, fault tolerance, and horizontal scalability. Builds real-time and batch pipelines using lakehouse architectures and streaming systems (Kafka / PubSub).

- Distributed Data Processing (Spark / BigQuery / Iceberg):
Expert in large-scale data processing, query optimization, and cost-efficient analytics. Deep understanding of Spark execution, partitioning, and modern table formats (Iceberg / Delta).

- Cloud & Infrastructure (GCP / Kubernetes):
Builds resilient cloud-native data platforms on GCP and Kubernetes using IaC, autoscaling, and secure access (IAM, Workload Identity).

- Python Engineering:
Develops high-performance Python services for data and ML workloads with focus on concurrency, clean architecture, and production-grade quality.

- Databases & Performance (PostgreSQL / OLTP):
Optimizes high-throughput OLTP systems through indexing, partitioning, and query analysis (EXPLAIN ANALYZE, MVCC).

- Reliability & Observability (SRE):
Implements resilient data systems with idempotency, retries, observability, SLOs, and incident management.

- AI / LLM Integration:
Integrates LLMs into production pipelines with structured outputs, caching, batching, prompt versioning, and evaluation.

- Workflow Orchestration (Airflow / Dagster):
Designs scalable DAG-based workflows with dependency management, retries, and reproducible backfills.

- CI/CD & DevOps for Data:
Implements safe deployments for data systems including schema migrations, canary releases, and data contracts.

- Ownership & Engineering Maturity:
Owns end-to-end production systems and architecture decisions while balancing delivery speed, quality, and technical debt.

Nice-to-have: 

- Experience in MarTech / AdTech platforms (e.g., DSPs, attribution systems, DMP/CDP tools)

- Deep knowledge of data matching/fingerprinting techniques (identity graphs, IP + UA resolution, hashed PII workflows)

- Strong prompt engineering skills — not just ChatGPT 101, but chaining, system prompting, tooling integration

What We Offer
- Fully remote with flexible hours (aligned with EU timezones for syncs).
- Influence on quality strategy across the entire engineering organization.
- A cross-team role with visibility into every part of the product.
- AI-first tooling.
- Claude Code licenses and cutting-edge AI development workflows. 
- A team with no bureaucracy, decisions are made fast.

We are looking for a Senior Data Engineer to join the Identity team at Equals5. This is not a standard ETL role. We are building a dynamic data ecosystem where AI is deeply integrated—both as a productivity multiplier and as a core component of our data processing logic for identity data enrichment and data scoring.

You will own the infrastructure that handles over 10,000 executions per minute, ensuring stability, scalability, and data integrity. You will work with a modern stack on Google Cloud Platform, utilizing Cloud Functions and Kubernetes.

We are looking for an engineer who improves infrastructure, automates everything, and is eager to implement LLM-based logic directly into high-load data flows.
 

Responsibilities

• AI-Driven Data Scoring: Design and implement pipelines that utilize LLMs to analyze and score identity data in real-time. You will integrate AI models directly into the decision-making loop, balancing accuracy with latency and cost.
• Own the Data Architecture: Architect scalable data solutions using GCP and Python. You will manage data storage and retrieval using BigQuery and Apache Iceberg to support querying of TBs of data.
• Heavy Data Processing: Utilize Apache Spark for data transformations and batch processing when lightweight cloud functions are not enough.
• Manage High-Load Orchestration: Maintain and optimize our system instances. It involves complex dataflows, custom Python nodes, and performance tuning for 10k+ execs/minute.
• Release Lifecycle (CI/CD): Take ownership of the deployment process, ensuring that updates to pipelines and infrastructure are released safely with proper testing and rollback strategies.
• Database Optimization: Manage PostgreSQL performance under heavy load, optimizing complex queries and indexing strategies.
• Active AI Usage: Use Claude Code and other AI engineering tools to accelerate your own development, refactoring, and testing processes.
• Incident Resolution: Proactively monitor the system. When alerts fire, you investigate the root cause—whether it’s a database lock or an LLM hallucination—and fix it permanently.
   

Requirements

• 4-5+ years of experience in Data Engineering or Backend Engineering with a strong data focus.
• Production AI Integration: Experience integrating LLMs (OpenAI, Anthropic, Gemini) into production applications via API. You understand latency, token limits, and how to structure data for AI scoring.
• Expertise in GCP: Understanding of Google Cloud Platform (Cloud Functions, IAM, Networking).
• Strong Python: You write clean, efficient, and testable code. You are comfortable building custom logic where standard tools fall short.
• Big Data Stack: Experience with BigQuery, Apache Spark, and modern table formats like Apache Iceberg.
• Kubernetes (K8s): Experience deploying and scaling services in containerized environments.
• Workflow Automation: Understanding of workflow orchestration tools at a deep technical level. N8N is a big part of our domain, so familiarity with it is highly valuable.
• PostgreSQL Mastery: Proven ability to handle heavy write/read loads and optimize schemas.
• English: B2+ (Upper-Intermediate) or higher.
   

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If a scoring model drifts or a pipeline slows down, you notice it and fix it without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If an external API fails, you build a fallback mechanism instead of just blaming the provider.
• Get It Done: You prioritize shipping value. You know when to use a simple script and when to build a complex architecture.
• Openness: You share knowledge freely. If you find a better way to prompt the AI for scoring, you share it with the team.
   

What We Offer

• Fully remote with flexible hours (aligned with EU timezones for syncs).
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech for both daily coding and product features.
• High-Impact Role: You will directly influence how we identify and score users, impacting the core business logic.
• Cross-functional visibility: Work closely with Product and Tech Leads to shape the future of Identity.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

About the company:

Softermii (https://www.softermii.com/) is an outsourcing/outstaffing company with more than 11 years of experience in web and mobile application development with a team of more than 120 specialists from 6 countries.

We have withstood multiple challenges, such as COVID-19 pandemic and war aggression against Ukraine, we have secured sustainable development processes, saved all our projects and jobs. Even more – we’re constantly growing.     

Every day we add new project to our portfolio in the following areas of expertise:

• Healthcare
• Real estate
• Livestream E-commerce
• Fintech (WealthTech, Capital Trading)
• Real-Time Communications (RTC)

In addition, we develop 2 of our own solutions that help our customers get faster applications for video or audio calls (https://www.softermii.com/solutions/vidrtc) or an application for real estate with 3D visualization (https://www.softermii.com/solutions/apartmii)

Company’s mission:

Softermii: Succeed Without (L) imitations

We will turn any idea into a valuable product.

Our plans as a company:

We want to move from a regular outsourcing business to an ecosystem of outsourcing, education, and product development companies.

Over the years, we have arrived at a highly personalized working model with transparent workflows. This model allows us to create software products that meet our clients’ goals with precision.

We operate in an AI-assisted development environment, where engineering thinking, logical validation, and responsibility for business outcomes are more important than simply writing code.

________________________________________________________________________________________________________________________________________________________________

📲Project:

The technology platform in the field of commercial real estate, which helps the company find, evaluate and purchase "last mile" objects throughout the United States. The platform combines data, analytics, risk models and investment algorithms to accelerate and automate the decision-making process in real estate investments.

Type of cooperation: Full-time.

‼️Work schedule: 1:00РM-8:00PM CET (After the start of cooperation, it can be discussed)

Team👨‍💻: 3-4 data engineers and analytics on the client side

⚡️Your responsibilities on the project will be:

• Build and maintain SQL views, stored procedures, and transformation logic that convert raw source data into clean, reliable financial, operational, and portfolio analytics;
• Develop and maintain data warehouse objects following dimensional modeling best practices – fact tables, dimension tables, and SCD patterns;
• Work within our AWS environment – including Redshift as our core data warehouse and supporting infrastructure on S3 and Athena;
• Extend and maintain Python-based pipelines supporting data ingestion, validation, automation, and output delivery;
• Support quarterly and ad hoc reporting runs – troubleshoot issues, validate outputs, and coordinate with finance and asset management teams on discrepancies
• Maintain data lineage documentation, calculation logic, and DDL registries so the team always knows what runs, why, and how;
• Use Git for version control – branching, reviewing, and merging code changes following team standards;
• Build BI-ready views consumed by dashboards and downstream reporting tools
• Help extend our data lake infrastructure as new data products and business domains are onboarded;
• Leverage AI coding tools (such as Claude Code or similar) to accelerate development, improve code quality, and document logic more effectively.

🕹Tools we use: Git, Figma, AI-assisted dev tools (Claude Code, Etc).

🗞Our requirements to you:

• 2+ years of hands-on SQL experience – comfortable writing complex queries, CTEs, window functions, and aggregations
• Solid understanding of data warehousing concepts – fact/dimension modeling, SCD Type 1/2, ETL vs ELT.
• 2+ years of hands-on experience with a modern cloud DWH (Redshift, Snowflake, BigQuery, Databricks SQL, or similar) 
• Experience building or migrating a production project in dbt Core (the free/CLI version, not dbt Cloud)
• Familiarity with Git – branching, pull requests, merge conflicts, meaningful commit messages
• Comfort using AI coding assistants (Claude Code, GitHub Copilot, or similar) as part of a modern development workflow
• Strong attention to detail – the outputs you produce inform real business decisions
• Strong English communication skills – В2/C1 level 

🗞Nice to Have:

• Familiarity with Microsoft Fabric or the broader Microsoft data stack (Azure Data Factory, Synapse, Power BI)
• Familiarity with data management principles – data quality frameworks, data lineage tracking, and metadata management
• Familiarity with real estate finance concepts – NOI, Cap Rate, IRR, fund structures
• Experience with Yardi, MRI, or other property management / accounting systems
• Exposure to Airflow or similar orchestration tools
• Understanding of GAAP / accrual accounting basics
• Working knowledge of Python for data pipelines – file I/O, scripting, automation and validation (not required, but a strong plus)
• Experience reading or reconciling financial statements – P&L structure, GL account hierarchies, balance sheet vs income statement concepts
   

👨‍💻Who will you have the opportunity to meet during the hiring process (stages):
call, HR interview, Technical interview on the client side, Final interview

🥯What we can offer you:

• We have stable and highly-functioning processes – everyone has their own role and clear responsibilities, so decisions are made quickly and without unnecessary approvals. 
• You will have enough independence to make decisions that can affect not only the project but also the work of the company.
• We are a team of like-minded experts who create interesting products during working hours and enjoy spending free time together.
• Do you like to learn something new in your profession? We will be happy to pay 50% of the cost of courses/conferences.
• Do you want an individual development plan? We will form one especially for you + you can count on mentoring from our seniors and leaders.
• Do you have a friend who is currently looking for new job opportunities? Recommend them to us and get a bonus.
• Do you want to volunteer? We will add you to a chat, where we can get a bulletproof vest, buy a pickup truck or send children's drawings to the front.
• And we have the most empathetic HRs (who also volunteers!). So we are ready to support your well-being in various ways.

👨‍🏫A little more information that you may find useful:

- our adaptation period lasts 3 months, this period of time is enough for us to understand each other better;

- there is a performance review after each year of our collaboration where we use a skills map to track your growth;

- we really have no boundaries in the truest sense of the word – we have flexible working day is up to you.
 

Of course, we have a referral bonus system. So if you have a friend who likes our job opening, you can give us their telegram contact, and we in turn will thank you with a bonus if we start working with them!

We are seeking a skilled ML/AI Engineer to join our team and deliver cutting-edge ML/AI models in the ASR domain and legal insights more broadly. The core of this role is building, deploying, and serving ML models in production. 

A key part of this role is speech engineering — prior ASR/speech experience is not a must, but a willingness to learn and grow into this domain is essential. Experience with LLM-based solutions and agentic flows is an advantage, not a requirement. 

What you’ll do: 

• Build, deploy, and serve ML models in production — the core of the role — optimizing inference performance, latency, and efficient GPU utilization. 
• Support and extend our speech solutions, including 3rd-party ASR integrations and self-hosted ML models. 
• Evaluate and optimize key ASR/ML metrics such as WER, latency, F1 score, EER, and DER. 
• Secondary: Integrate LLMs and agentic flows into production solutions where they add value, including fine-tuning existing models. 

What you’ll bring: 

Core (required): 

• Solid background in machine/deep learning, with 4+ years of experience. 
• Strong Python skills and experience working in Linux environments. 
• Familiarity with deep learning libraries (e.g., PyTorch, TensorFlow) and training workflows. 
• Experience with MLOps pipelines and serving/deploying models in production. 
• Experience optimizing models for inference, including GPU acceleration. 
• Experience with Docker, gRPC, and serverless / micro-services architectures on cloud infrastructure (AWS/GCP/Azure). 
• Experience with real-time / streaming systems and low-latency processing (e.g. streaming pipelines, live sessions). 

Nice to have (secondary / optional): 

• Experience building and productizing agentic flows and AI-driven solutions (1+ year). 
• Familiarity with LLM / agent orchestration frameworks such as CrewAI, AWS Bedrock, Temporal, AgentCore, or LiteLLM. 
• Prior ASR / speech experience — not required; willingness to learn this domain is what matters most. 

What makes Verbit unique? 

Our team of 250 professionals builds AI-driven solutions that help the world’s leading organizations get real value from their audio and video content. We serve high-end customers across the Legal, Media and Education markets with a next-generation verbal-intelligence platform that brings AI into the core of their workflows. 

Our in-house technology combines advanced LLMs, GenAI capabilities and speech AI to power everything from legal-tech automation and real-time insights to intelligent media and learning workflows. Beyond transcription or accessibility, Verbit provides actionable intelligence: smart summaries, analytics, search, knowledge extraction, legal-deposition insights and more. 

With more than 3,000 global customers relying on Verbit—including top law firms, universities, enterprises and media organizations—we’re building the future of how speech data is processed, understood and used. 

We’re a group of: 

• Tech-savvy individuals who are always open to more growth and learning opportunities 
• Adaptable and flexible people who thrive in a fast-paced, startup environment 
• Creative minds who rethink and question how to outperform past results 
• Effective communicators who can promote and represent Verbit’s tech and brand 

About the Project

Our client is an industry pioneer, allowing individuals the freedom to purchase official state lottery tickets online via our website and mobile app. We are dedicated to creating a fun and secure way for people to play the lottery conveniently from their homes or mobile devices. We understand that building a world-class company starts with a world-class team. If you're looking to join a fast-growing tech company that values work-life balance, feedback, and growth.

The role is primarily backend-oriented.

Approximate split:

• 70% Backend / Data Engineering
  • 30% Power BI / Frontend Reporting

Required skills:

Must Have

• 5 years of experience as a BI Developer, working with ETL processes and data warehouse architecture.
• Educational Background: Bachelor’s degree in industrial engineering and management, Computer science, Information Systems, or a related field.
• Strong command of SQL, including performance tuning, optimization and complex SQL queries.
• Solid experience in ETL development using SQ. Databricks - advantage.
• Experience with cloud data platforms (e.g., Azure Data Lake, Snowflake).
• Hands-on experience building dashboards and reports in Power BI.
• Excellent understanding of data modelling concepts and business KPIs.
• Familiarity with Agile methodologies and tools like Jira.
• Open to candidates worldwide

Nice to Have

• Proficiency in Python for scripting and data manipulation.
• Knowledge of data governance and compliance best practices.

Scope of work:

• Design, develop, and maintain scalable ETL processes and data warehouse structures.
• Write and optimize complex SQL queries to ensure high performance and reliability across large datasets.
• Leverage Python and Databricks for advanced data transformation, orchestration, and automation tasks.
• Build and maintain Power BI dashboards and reports to visualize key business metrics.
• Collaborate with stakeholders to translate business requirements into scalable data models and visualizations.
• Ensure data integrity, governance, and performance optimization across BI systems.
• Participate in Agile ceremonies and use Jira to manage tasks, sprints, and deliverables.
• Contribute to best practices in BI development and data modelling.

It is revolutionizing how robots operate in factories — not through rigid programming or teaching by human demonstration, but with smart perception and AI intelligence. We are a team of 4 motivated people with +25 years of experience in industry and robotics. Our mission is to make robots smarter and more flexible, enabling batch-size-1 automation for surface treatment economically. Our technology helps factories in Europe to remain competitive with intelligent robotics.

We are now looking for a Senior Machine Learning Engineer with technical excellence and entrepreneurial drive to join us in developing the next generation of AI-driven robotic systems!

Tasks

• End-to-End ML Systems: Design, implement, and train state-of-the-art AI models for perception and control of robot arms.
• Data Pipelines & ML Ops: Collect real-world data from factory deployments to optimize model training and update models in the field.
• Simulation & Synthetic Data: Work and improve simulation-based tooling (e.g., NVIDIA Newton Physics Engine) for physical AI and scalable synthetic data generation.
• Model Development: Build ML components across perception and policy pathways, including video models, multimodal encoders, world models, and diffusion/transformer architectures.
• Systems Integration: Work with real-world, multimodal datasets (vision, force/torque, tactile) and ensure models operate reliably under real-time constraints on physical hardware.
• Evaluation & Iteration: Test models in realistic environments, analyze failures, and refine for stability, latency, and robustness.

Requirements

• Background: Master's Degree and more than 3 years of professional experience or a (almost) finished PhD in Robotics, Computer Science, or a related field.
• Deep experience: Hands-on work with reinforcement learning (RL) and imitation learning within physics simulations.
• Software Engineering: Strong proficiency in Python and ideally Rust; ability to write clean, modular, and performance-optimized code for distributed workloads using AI agents.
• Real-World Mindset: Proven track record of deploying models on physical robotic manipulators and handling noisy, temporal, or large-scale datasets.Soft Skills: Entrepreneurial drive, solution-oriented mindset, high agency and the ability to take direct responsibility in a fast-paced startup environment.

Benefits

• Impact: The unique opportunity to rethink industrial automation for batch-size-1 with cutting-edge AI to maintain European manufacturing sovereignty.
• Growth: Challenging tasks and impactful projects alongside experts in a high-growth VC-funded startup.
• Ownership: opportunity to actively shape the company's technical direction; potential shares in the company.
  
  Must have skills !!!
• Background: Master's Degree and more than 3 years of professional experience or a (almost) finished PhD in Robotics, Computer Science, or a related field.
• Deep experience: Hands-on work with reinforcement learning (RL) and imitation learning within physics simulations.
• Software Engineering: Strong proficiency in Python and ideally Rust; ability to write clean, modular, and performance-optimized code for distributed workloads using AI agents.
• Real-World Mindset: Proven track record of deploying models on physical robotic manipulators and handling noisy, temporal, or large-scale datasets.Soft Skills: Entrepreneurial drive, solution-oriented mindset, high agency and the ability to take direct responsibility in a fast-paced startup environment.

Stay Group is an innovative Marketing company with a mission to help businesses acquire their target customers and create top-tier solutions in the iGaming and entertainment industry. Currently, we are looking for our perfect DevOps Engineer to join our team and help us build scalable, reliable, and secure infrastructure.

Requirements:

• 3+ years of commercial experience as a DevOps Engineer.
• Strong hands-on experience with Kubernetes (GKE, EKS, and self-hosted clusters).
• Experience deploying and maintaining cloud infrastructure on AWS and/or Google Cloud Platform.
• Experience with CI/CD pipelines using GitLab CI/CD.
• Strong knowledge of Docker and containerized application deployment.
• Experience configuring and managing Cloudflare services, including WAF, SSL/TLS, DNS, and API automation.
• Experience with monitoring, logging, and observability tools:
  • Prometheus,
  • Grafana,
  • ELK Stack.
• Experience with database administration:
  • MySQL,
  • PostgreSQL,
  • MongoDB.
• Understanding of cloud cost optimization (FinOps).
• Experience with Infrastructure as Code and automation.
• Strong troubleshooting, analytical thinking, and ownership mindset.
• English level sufficient for reading technical documentation and communicating with international teams.

Will be a plus:

• Experience with Datadog (APM, RUM, Logs).
• Experience configuring Global Load Balancers in Google Cloud.
• Experience building scalable, high-load infrastructure.

Key Responsibilities:

• Design, build, and maintain highly available cloud infrastructure.
• Configure and manage Cloudflare services, including WAF, SSL/TLS, DNS, and API automation.
• Deploy, maintain, and optimize Kubernetes clusters across GKE, EKS, and self-hosted environments.
• Build and improve CI/CD pipelines using GitLab CI/CD.
• Automate Docker image builds and deployment processes.
• Implement and maintain monitoring, logging, alerting, and observability solutions using Prometheus, Grafana, and ELK.
• Optimize cloud infrastructure performance, scalability, and cost efficiency.
• Configure auto-scaling and load balancing for cloud environments.
• Administer and support production databases.
• Collaborate closely with Development, QA, Product, and Security teams to improve infrastructure reliability and delivery processes.

Benefits

Freedom to choose where to work: work from anywhere in the world with the freedom of remote options.

Flexibility: enjoy flexible working hours that let you balance your personal and professional life while staying focused on delivering great results.

Corporate English speaking club: improve your English proficiency with regular practice and expert guidance.

A Culture That Cares: thrive in a friendly environment where a strong corporate culture builds connections, drives innovation, and makes you feel truly valued.

Accelerate Your Growth: seize career advancement opportunities in a rapidly expanding marketing company. As the company scales, so will your professional journey.

Trinetix is looking for a proactive and technically skilled Backbone Build Engineer.

Join our team and work with Arelion, one of the world's leading Tier-1 Internet providers, operating one of the largest and most reliable global IP backbone networks. With more than 30 years of experience and connectivity spanning over 100 countries, Arelion delivers mission-critical network services to telecom operators, hyperscalers, cloud providers, content platforms, and global enterprises.

This is a unique opportunity to contribute to the backbone infrastructure that powers the Internet while growing your career in an international, fast-paced engineering environment.

In this role, you will play a key part in delivering critical backbone infrastructure projects, including data center migrations, fiber deployments, and capacity upgrades. Working within a fast-paced, multivendor ecosystem, you will manage supplier relationships and help ensure the timely and successful delivery of services. 

Core Responsibilities 

• Lead and execute data center and customer circuit migrations. 
• Coordinate with third-party providers to install new fiber and deliver services (e.g., tails, cross-connects). 
• Work closely with field technicians to verify fiber patching and physical connectivity. 
• Validate fiber connections and troubleshoot issues related to DWDM backbone link onboarding. 
• Manage escalations and drive resolution for high-impact infrastructure issues. 
• Ensure timely and quality delivery of backbone orders by staying on top of supplier commitments. 
• Perform network configuration and troubleshooting using CLI across various network operating systems (Cisco IOS, Junos, Arista EOS). 

Requirements 

• Solid experience in network infrastructure projects, especially data center migrations and fiber installations. 
• Hands-on experience with CLI in a multivendor environment (Cisco IOS, Junos, Arista EOS). 
• Familiarity with DWDM systems for verification and troubleshooting of fiber connectivity. 
• Proven ability to manage suppliers and coordinate service delivery (e.g., fiber, tails, cross-connects). 
• Strong understanding of network protocols and configurations. 
• Excellent problem-solving skills and ability to work under pressure. 
• Effective communication and coordination skills across internal teams and external partners. 

Nice-to-haves 

• Certifications such as CCNA or equivalent (not mandatory but appreciated). 
• Experience with other network technologies and equipment. 
• Familiarity with project management tools and methodologies. 

What we offer

• Continuous learning and career growth opportunities 
• Professional training and English language classes   
• Flexible working hours 
• Inclusive and supportive culture 

• Project Description:

  The primary goal of the project is the modernization, maintenance and development of an eCommerce platform for a big US-based retail company, serving millions of omnichannel customers each week.
  
  Solutions are delivered by several Product Teams focused on different domains - Customer, Loyalty, Search and Browse, Data Integration, Cart.
  
  Current overriding priorities are new brands onboarding, re-architecture, database migrations, migration of microservices to a unified cloud-native solution without any disruption to business.

• Responsibilities:

  We are looking for Senior Data Engineer to implement a solution for a big retail company. The main focus is to support processing of big data volumes and integrate solution to current architecture.

• Mandatory Skills Description:

  • Overall years of experience required 8+
  • Strong, recent hands-on expertise with Azure Data Factory and Synapse is a must (3+ years).
  • Strong expertise in designing and implementing data models, including conceptual, logical, and physical data models, to support efficient data storage and retrieval.
  • Strong knowledge of Microsoft Azure, including Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks, pySpark for building scalable and reliable data solutions.
  • Extensive experience with building robust and scalable ETL/ELT pipelines to extract, transform, and load data from various sources into data lakes or data warehouses.
  • Ability to integrate data from disparate sources, including databases, APIs, and external data providers, using appropriate techniques such as API integration or message queuing.
  • Proficiency in designing and implementing data warehousing solutions (dimensional modeling, star schemas, Data Mesh, Data/Delta Lakehouse, Data Vault)
  • Proficiency in SQL to perform complex queries, data transformations, and performance tuning on cloud-based data storages.
  • Experience integrating metadata and governance processes into cloud-based data platforms
  • Certification in Azure, Databricks, or other relevant technologies is an added advantage
  • Experience with cloud-based analytical databases.
  • Experience with Azure MI, Azure Database for Postgres, Azure Cosmos DB, Azure Analysis Services, and Informix.
  • Experience with Python and Python-based ETL tools.
  • Experience with shell scripting in Bash, Unix or windows shell is preferable.
  • Demonstrated ability to lead cross-functional engineering teams, define technical strategy and architecture, drive delivery of complex data platforms, mentor engineers, and effectively communicate with stakeholders at all organizational levels.

• Nice-to-Have Skills Description:

  • Experience with Elasticsearch
  • Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
  • Troubleshooting and Performance Tuning: Ability to identify and resolve performance bottlenecks in data processing workflows and optimize data pipelines for efficient data ingestion and analysis.
  • Collaboration and Communication: Strong interpersonal skills to collaborate effectively with stakeholders, data engineers, data scientists, and other cross-functional teams.
  • Ability to plan, estimate and track progress of implementing features
  • Computer Science and data science academic and education credentials

• Languages:
  • English: B2 Upper Intermediate

🚀 We’re on the hunt for a talented AI/ML Engineer to design, implement, and optimize cutting-edge AI/ML solutions. If you thrive on solving complex problems and creating production-ready models, we’d love to hear from you!

🎯 What You’ll Do:

• Develop and fine-tune AI/ML models for performance and scalability.
• Enhance production models, debug issues, and ensure reliability.
• Work with cross-functional teams to shape future AI/ML innovations.
• Explore emerging AI/ML technologies and recommend tools/frameworks.
• Build robust pipelines using Python, SQL, Docker, and more.

🧩 What We’re Looking For:

• Strong experience in AI/ML, data science, or data engineering.
• Expertise in Python, TensorFlow, Keras, Scikit-learn, and Generative AI.
• Familiarity with Docker, Streamlit, and data tools like Pandas and SQL.
• Strong communication skills and the ability to work independently.
• English: Upper-intermediate or higher.

🎯 We offer:

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays

• A normal, supportive team without unnecessary bureaucracy

   

Ready to shape the future of AI/ML with us? 🚀 Apply now and be part of something extraordinary!

About

We’re looking for a senior ML/AI Engineer to build Stream, a new conversational interface. As an ML/AI engineer, you will architect, build, and deploy a new interface which spans voice, audio, and agentic control. This role is perfect for someone who cares deeply about real-world ML deployment and low-latency voice interactions.

Responsibilities

• Design and improve user-facing experiences, including voice, audio, and agentic control.
• Develop, evaluate, and deploy models spanning cloud models to resource-constrained on-device settings
• Optimize inference pipelines for latency, reliability, and concurrency

• Work closely with other ML/AI engineers, infrastructure engineers, designers, and cofounders on existing and future products

   

Qualifications

• 4+ years in artificial intelligence or machine learning applications
• Experience shipping ML-based products is required
• Experience in large-language models is required
• Experience in audio / voice ML is a major plus
• Comfortable writing production-grade software
• Passion for human-computer interaction

Workload — Full-time
Duration — Long-term
Location — EU

Senior (5+ years), strong customer communication, experience working directly with enterprise IT and Security teams. 

Key stack: Azure: AKS, Entra ID, Managed Identities, RBAC, Key Vault, API Management, Blob Storage, AI Search, Private Endpoints, VNets, Network Security Perimeters, multi-region AI/ML: Azure OpenAI, AI Foundry, Azure ML, LLM deployment, vLLM, RAG, multi-agent, embedding pipelines DevOps: Terraform, GitHub Actions, OIDC federation, Helm/Kustomize, CI/CD, secret management Data: Microsoft Fabric, PostgreSQL, Python ETL, Power BI API Dev: Python/FastAPI (async), React + TypeScript (Vite) 

Nice to haves: production AKS, Azure ML model serving, Azure OpenAI in production, locked-down Azure tenants, FDE / embedded team experience. Requirements: start ASAP, long-term, sprint model, work in tandem with client IT/Security.

What We're Looking For

Seeking Alpha is looking for a Senior Data Engineer responsible for designing, building, and maintaining the infrastructure necessary for analyzing large data sets. This individual should be an expert in data management, ETL (extract, transform, load) processes, and data warehousing and should have experience working with various big data technologies, such as Hadoop, Spark, and NoSQL databases. In addition to technical skills, a Senior Data Engineer should have strong communication and collaboration abilities, as they will be working closely with other members of the data and analytics team, as well as other stakeholders, to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with the overall business goals and objectives.

The Senior Data Engineer will be engaged with the company as a contractor (Private Entrepreneur).

What You'll Do

• Work closely with data scientists/analytics and other stakeholders to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with business goals and objectives
• Design, build and maintain optimal data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources, including external APIs, data streams, and data stores. 
• Continuously monitor and optimize the performance and reliability of the data infrastructure, and identify and implement solutions to improve scalability, efficiency, and security
• Stay up-to-date with the latest trends and developments in the field of data engineering, and leverage this knowledge to identify opportunities for improvement and innovation within the organization
• Solve challenging problems in a fast-paced and evolving environment while maintaining uncompromising quality.
• Implement data privacy and security requirements to ensure solutions comply with security standards and frameworks.
• Enhance the team's dev-ops capabilities.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 2+ years of proven experience developing large-scale software using an object-oriented or functional language.
• 5+ years of professional experience in data engineering, focusing on building and maintaining data pipelines and data warehouses
• Strong experience with Spark, Scala, and Python, including the ability to write high-performance, maintainable code
• Experience with AWS services, including EC2, S3, Athena, Kinesis/Firehose Lambda and EMR
• Familiarity with data warehousing concepts and technologies, such as columnar storage, data lakes, and SQL
• Experience with data pipeline orchestration and scheduling using tools such as Airflow
• Strong problem-solving skills and the ability to work independently as well as part of a team
• High-level English - a must. 
• A team player with excellent collaboration skills.

Nice to Have:

• Expertise with Vertica or Redshift, including experience with query optimization and performance tuning
• Experience with machine learning and/or data science projects
• Knowledge of data governance and security best practices, including data privacy regulations such as GDPR and CCPA.
• Knowledge of Spark internals (tuning, query optimization)

Join a Company That Invests in You

Seeking Alpha is the world’s leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.