Jobs Data Engineer

We are looking for a Senior Data Engineer to join growing engineering team. This person will be responsible for designing, building, and operating the data pipelines and warehousing infrastructure that power our products and partner integrations. The role centers on Apache Airflow orchestration, ETL/ELT in Python, and PostgreSQL data modeling at non-trivial scale.

This is a senior position. We expect end-to-end ownership - dive into a problem, build the context, propose a path, ship it, and operate it - pulling in others when their expertise is genuinely required. This person will work directly with engineering leadership and integrate tightly with our backend service teams.

The ideal candidate brings hands-on experience designing and operating production Airflow deployments, strong Python and SQL fluency, and a working comfort with messy vendor data. They actively leverage AI-powered tooling - Claude Code, Cursor, MCP, and similar - as a force multiplier in day-to-day delivery, and they have an informed point of view on where this is going. They are collaborative, detail-oriented, and thrive in a fast-paced, agile environment.

Position: New position. Team growth.
Work schedule: 9-10 a.m.- 6-7 p.m., flexible working hours.
Location: Remote.
English: Upper-Intermediate.

Technical stack:

• Orchestration: Apache Airflow (multiple production DAGs)
• Languages: Python 3.12+, SQL (PostgreSQL); Java reading literacy is a plus
• Data libraries: Pandas, NumPy, SQLAlchemy
• Databases: PostgreSQL with managed migrations (Flyway-style)
• Cloud: Azure and / or AWS
• AI / Agentic: Claude Code, Anthropic API, MCP (Model Context Protocol), Ollama, internal agent platform
• Adjacent stack you'll interact with: Java, Spring Boot, Hibernate, Query DSL, Debezium (CDC), WebSocket / SSE

Requirements:

• Real pipeline ownership. You've designed, shipped, and operated production Airflow (or comparable orchestrator) at non-trivial scale. You know what breaks at 2 AM and how to keep it from waking the rest of the team.
• Strong Python data manipulation. Pandas, NumPy, and SQLAlchemy are working tools, not interview trivia.
• Real SQL fluency. You think in joins, indexes, and execution plans. Stored procedures and migrations don't intimidate you.
• Vendor-data realism. You're comfortable reading vendor documentation, integrating messy external APIs, and translating "how is your data shaped?" into a workable schema in front of a partner.
• AI-first instinct. You already use Claude Code, Cursor, or comparable tooling daily and you push it harder than your peers do. You have a forming point of view on agent design, prompts, and MCP.
• Self-direction. Senior here means you find the work, build the context, decide the approach, and ship - escalating only when escalation is genuinely required.
• Distributed-systems sensibility. You understand event-driven patterns, idempotency, replayability, and the realities of real-time data processing.

Nice to have:

• Java reading literacy. Some of our DAGs invoke Java-based containers; cursory comfort speeds up triage. Backend engineers and AI agents can fill the rest.
• Hands-on with CDC (Debezium) and event-driven architectures
• Experience with cloud data warehouses (Snowflake, Synapse, BigQuery) or lakehouse architectures
• Financial / market / reference data background; familiarity with crypto pricing, securities reference, or fund accounting data
• An MCP server, Claude skill, custom agent, or hook you've built or extended
• dbt, Kafka, Event Hubs, or comparable data tooling

Responsibilities:

Pipeline Engineering & Orchestration:

• Design, build, and operate Apache Airflow DAGs that ingest data from financial vendors, partners, and internal systems
• Architect ETL/ELT pipelines in Python with appropriate batching, idempotency, retry, backfill, and lineage characteristics
• Integrate with messy external vendor APIs and file feeds; handle schema drift, late data, and partial failures gracefully
• Build and maintain background workers and scheduled services for process automation
• Establish observability for pipelines: logging, metrics, alerting, and runbooks for on-call response

Data Modeling & SQL

• Design and optimize PostgreSQL schemas across operational and analytical domains
• Author and tune complex SQL: stored procedures, views, window functions, indexing strategies, and query plans
• Implement managed database migrations and versioning using existing tooling
• Model reference, market, and transactional data into clean, queryable shapes that downstream services and analytics can rely on

AI-Augmented Engineering

• Pair with AI agents on data operations: direct them, review their work, and push back when they're wrong
• Identify practical opportunities to apply AI within both the development toolset and product features
• Contribute to internal agent skills, prompts, and MCP integrations that improve pipeline diagnostics, schema management, vendor onboarding, and code review
• Stay current on emerging AI patterns and bring back what works

Cross-Functional Delivery

• Sit in on partner and client calls, map their data into our model, and ship integrations without long handoffs
• Contribute to architecture decisions across the data platform - we don't gatekeep that to a small group
• Collaborate with backend engineers on Java / Spring Boot services that consume or produce data your pipelines manage
• Document approaches and decisions clearly enough that future-you and your colleagues can build on them

Benefits from 8allocate:

• Team & Culture: Team events, offsites, and a culture that keeps people connected.
• Learning & Development: Budget for courses, certifications, and conferences.
• Wellbeing: Flexible support in line with company policy, with options to support your physical and mental wellbeing (sport, mental health, or medical insurance).
• Rest & Recovery: Paid vacation and sick leave.
   

About the client:

Our customer is the European online car market with over 30 million monthly users, with a market presence in 18 countries. As a Senior Data Engineer (with Data Analyst skills), you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.

About the Role

As a Senior Data Engineer (with Data Analyst skills), your primary task will be to extract actionable insights from our data and advise the organization on them. To this end, you will perform analyses, convince stakeholders with your presentations, or make your results structurally visible via a dashboard. You will also liaise with product managers and marketing specialists to bring the opportunities you see in the data to fruition on our platforms, or to ensure that their ideas are correctly implemented. To ensure this, you will collaborate with the lead data and client’s data teams to implement tracking, contribute ideas on how the A/B test should be conducted, and analyze the effects of the adjustments. As part of your role, you’ll help transition the existing tech stack to the sophisticated data platform of the client.

Responsibilities:

• Migrating dashboards and underpinning analytics models from (Snowflake, dbt, Qlik) to (AWS, python) data platform
• Measuring the effectiveness of a new feature on the platform
• Analyzing and advising on the customer journey (of B2B and B2C customers)
• Analyzing the effectiveness of website personalization
• Maintaining the tag management system and Snowplow data models in DBT/SQL

Requirements: 

• You have 4+ years of relevant work experience as a Data Analytics Engineer
• You are analytical, curious, and detail-oriented
• You get energy from diverse work and solving complex data questions
• You have extensive knowledge of SQL or other languages. Preferably experience with GTM, A/B testing, and dashboarding
• Strong communication skills - you can explain insights and analytical solutions to technical and non-technical stakeholders
• High motivation, proactiveness, and a genuine enthusiasm for data and product analytics
• English level - at least Upper-Intermediate, both spoken and written  

The complete set of technologies the clients are currently using includes:

DBT, Snowflake SQL, Big data, AWS, AWS Quick Sight, Python, Docker, GA4, Salesforce, and Qlik. If you are excited to work with large amounts of data in a robust data stack, then this is the right place!

N-iX is looking a proactive Middle/Senior Data Engineer to join our vibrant team.

As a Middle/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.

Join Our Team & Earn Exciting Bonuses!
As a special incentive, we’re offering a Welcome Bonus of $1,000 USD for a new hire. Plus, if you refer a friend who gets hired, you’ll receive a Referral Bonus of $1,000 USD!

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

Requirements:

• 3-4+ 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 offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

CrunchCode — міжнародна сервісна ІТ-компанія з досвідом близько 7 років у розробці вебсервісів і вебзастосунків. Ми працюємо у форматах staff augmentation (outstaff) та outsourcing і підключаємо спеціалістів до проєктів клієнтів у довгостроковій моделі співпраці.

Ми працюємо переважно з проєктами в доменах логістики (включно з last mile),e-commerce, fintech та банкінгу, а також enterprise-рішеннями.
Для нас важливо, щоб проєкт був “чистим” і зрозумілим з точки зору етики та цінності для користувачів.

Ми принципово не беремо проєкти, пов’язані з:
● gamblng / гемблінгом,
● adult-контентом та порнографією,
● шахрайством або будь-якою розробкою, що спрямована на обман чи маніпуляції.

What We Offer:
● Fully remote work
● Long-term, stable project
● High level of autonomy and trust
● Minimal bureaucracy
● Direct impact on business-critical logistics systems
● Long-term engagement, not a short-term contract.

Project Overview
Operational management and ongoing enhancement of an Azure Databricks-based Cloud Data Platform (CDP). The role acts as the link between cloud infrastructure and business-facing data solutions — ensuring the platform stays secure, reliable, and production-ready while delivering new integrations, interfaces, and data products. Split: ~70% platform operations, ~30% enhancement and delivery.

Tech Stack: Azure Databricks · Terraform · Python · Bash · Azure APIM · Bitbucket · GitHub · CI/CD · Jira
 

Requirements (Must-have):
- Proven experience operating cloud-based data platforms in production environments
- Strong hands-on Azure Databricks expertise — workflows/jobs, compute management, permissions, troubleshooting
- Experience with batch and/or streaming data pipelines — production-grade reliability
- Solid monitoring and observability skills — dashboards, alerts, health checks
- Security best practices — access control, secrets management, least-privilege, secure connectivity
- Strong ownership mindset and cross-team communication skills
- Fluent English

Responsibilities:
- Manage daily CDP operations — stability, security, governance, reliability, and cost efficiency
- Monitor platform and pipeline performance, enhance alerting and Data Health Monitoring
- Support operational requests — user access, configuration management, troubleshooting, incident resolution
- Coordinate production deployments and release activities for platform and data product changes
- Maintain secure integration with the broader application ecosystem — identity, secrets, network connectivity
- Continuously improve operational processes through automation, runbooks, and root-cause analysis
- Design, build, test, and release data integrations across multiple data products
- Develop and extend interfaces for downstream consumers via APIs and scalable consumption patterns
- Implement and manage role-based security and authentication for Databricks applications and datasets
- Contribute to metadata management, data discovery, and operational data quality initiatives

Nice to Have:
- Broader Azure ecosystem — storage/data lakes, networking, identity services
- Delta Lake optimization and operational tuning
- ITSM-style service request and change management experience
- Data governance concepts — metadata, lineage, data quality reporting

Hiring Process: 2–3 interviews → Offer

Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Senior Python Engineer with Apache Airflow experience to join our dynamic team on a full-time basis.

Responsibilities

• Own and support critical backend services, ensuring their stability and performance
• Implement new features and improvements in existing systems
• Investigate issues related to data pipelines, DAGs, indexing, and web applications
• Perform root cause analysis and propose effective solutions
• Suggest and implement improvements across different layers of the system
• Actively collaborate with the team and communicate with the client

Requirements

• 5+ years of experience with Python, including development of Airflow DAGs and Flask applications
• 3+ years of experience with Apache Airflow (DAG development and orchestration)
• 3+ years of experience with Elasticsearch (data indexing and optimization)
• 3+ years of experience with GitLab, including CI/CD pipeline design
• 3+ years of experience with Oracle or PostgreSQL (ideally both)
• 3+ years of experience working with Unix/Linux systems
• 5+ years of experience working in Agile environments
• Strong experience in data pipelines, distributed systems, and backend development
• Ability to perform root cause analysis and work with complex systems
• Advanced English
• Technical degree

Soft Skills

• Proactive and self-driven approach to work
• Strong communication skills, both written and verbal
• Ability to clearly express ideas and collaborate with team members and stakeholders
• Attention to detail and commitment to high-quality delivery
• Strong listening skills and openness to feedback

Department/Project Description:

Client produces the best-selling iPad and iPhone app for pilots flying personal and business aircraft, corporate flight departments, and aircraft operators. Customers include individual pilots worldwide, Fortune 500 corporate flight departments, state and federal agencies, leading operators, the military, and leading aircraft OEMs. We have been in the App Store since its grand opening in July 2008 and are consistently ranked in the top 50 grossing iPad apps in the App Store.

The project focuses on the development and implementation of innovative resource management and optimization solutions for the world’s leading airlines. Its mission is centered on continuous improvement, delivering increased value to customers, and exploring emerging technologies such as artificial intelligence, big data analytics, and advanced optimization techniques.

The team operates in a unique software development environment where the solutions created have a real and meaningful impact on people around the world. The project is organized as an agile, learning-oriented setup, bringing together talented, creative, and dedicated professionals.

Team members collaborate with a diverse group of specialists across multiple countries as part of a global delivery model, enabling close cooperation with both customers and colleagues worldwide. The project encourages individuals to take ownership and make a tangible impact through their contributions.

Role Overview:

We are looking for a Senior DevOps Engineer to design, build, and operate scalable, secure, and highly available infrastructure platforms. You will play a key role in supporting cloud-native, containerized environments and enabling efficient CI/CD pipelines for mission-critical systems used by global airline customers.

Responsibilities:

• Design, implement, and operate Kubernetes-based platforms for production workloads.
• Build and maintain CI/CD pipelines using Git-based workflows and modern automation tools.
• Develop automation and tooling using Python and Go.
• Manage artifact repositories and dependency flows using Artifactory.
• Support and optimize databases (SQL and/or NoSQL) in production environments.
• Implement infrastructure and platform observability, monitoring, and alerting.
• Ensure high availability, scalability, and resilience of systems.
• Collaborate with development teams to improve deployment reliability and developer experience.
• Enforce security, access control, and compliance best practices across environments.
• Participate in incident response, root cause analysis, and continuous improvement initiatives.

• Contribute to platform architecture decisions and DevOps best practices.

   

Required Skills & Experience:

• 5+ years of experience in DevOps, SRE, or platform engineering roles.
• Strong hands-on experience with Kubernetes in production environments.
• Proficiency in Python and Go for automation and tooling.
• Solid experience with CI/CD pipelines, Git workflows, and release automation.
• Experience working with artifact repositories such as Artifactory.
• Good understanding of databases (relational and/or NoSQL) from an operational perspective.
• Strong knowledge of Linux systems, networking, and cloud-native concepts.
• Experience working in Agile / Scrum environments.

• Communicative English for collaboration in an international team.

   

Nice to Have:

• Experience with Infrastructure as Code tools (Terraform, Helm).
• Exposure to cloud platforms (AWS, Azure, or GCP).
• Experience with monitoring, logging, and observability stacks.
• Knowledge of container security and Kubernetes security best practices.

We are looking for a data-driven professional with strong analytical thinking and hands-on experience working with modern reporting ecosystems. 

In this role, you will help transform complex business and product data into scalable reporting solutions and actionable insights for stakeholders.

You will work closely with business and technical teams to improve reporting capabilities, optimize data structures, and support decision-making through dashboards and analytical models in a cloud-based environment.

This position is best suited for someone who enjoys working with data architecture from a reporting perspective, understands business logic behind KPIs, and feels comfortable navigating evolving requirements in Agile teams.

What You’ll Be Working On

• Building and enhancing analytical dashboards and reporting solutions
• Collaborating with stakeholders to understand reporting requirements and business logic
• Analyzing existing database structures and identifying opportunities for optimization
• Designing and improving aggregation and reporting layers
• Creating and maintaining SQL scripts for data preparation and reporting processes
• Supporting data consistency and validating reporting outputs
• Participating in Agile ceremonies, daily communication, and backlog discussions
• Working in collaboration with engineering teams responsible for data platform evolution and integrations

• Helping assess technical feasibility and limitations of BI solutions

   

Required Skills & Experience

• Strong commercial experience in Data Analytics, BI, Reporting, or related domains
• Advanced SQL skills with hands-on experience writing optimized and complex queries
• Solid understanding of relational databases and reporting-oriented data modeling
• Experience working with large-scale datasets and analytical environments
• Ability to structure data according to business reporting needs
• Experience with modern BI platforms such as AWS QuickSight, Tableau, Power BI, or similar
• Strong experience with PostgreSQL or similar relational databases

Communication & Collaboration

• Strong communication skills in English
• Ability to work directly with stakeholders and translate business needs into analytical solutions
• Comfortable working in dynamic Agile environments with changing priorities

Nice to Have

• Exposure to AI-driven analytics or modern data products
• Understanding of machine learning or advanced analytics concepts
• Experience with enterprise architecture or data governance tools

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client is looking for a Computer Vision Engineer to join a project with a global leader in biomedical imaging. The company offers a comprehensive product portfolio for Karyotyping, H&E, IHC, and FISH analysis, providing advanced imaging and analysis tools for Pathology, Cytogenetics, and Research laboratories. This role involves working on cutting-edge solutions that enable high-precision diagnostics and support innovation in scientific research.

Key Requirements:

🔹 5+ years of hands-on experience in algorithm development using Python (must) and C++ (advantage);
🔹 Proven experience in training, fine-tuning, and deploying AI/ML models – Must;
🔹 Experience in Computer Vision (e.g., Shape Analysis) / Image Processing using image processing libraries like OpenCV in C++ – Advantage;
🔹 Strong ability to work independently as well as in a SCRUM team under Agile dynamic environment; proactive and self-driven;
🔹 Methodical, solution-oriented mindset with a strong “can-do” approach;
🔹 MSc or PhD in Biomedical Engineering, Electrical Engineering, Computer Science, Physics, or a related field – Must;
🔹 English – Upper-Intermediate or higher.

What you will do:
🔹 Research and develop advanced algorithms in Machine Learning, Neural Networks, Computer Vision, Image & Signal Processing, to be integrated into ASI products;
🔹 Define software specifications and deliver production-ready code that meets project milestones, while addressing constraints such as computational resources, response time, and memory consumption (GPU and CPU);
🔹 Train, optimize, validate and Integrate AI/ML models for diagnostic and imaging applications using Python and its libraries (PyTorch, NumPy, etc);
🔹 Collaborate closely with cross-functional teams, including R&D, Applications, and Product groups;

Interview stages:
🔹 HR Interview;
🔹 Tech interview;
🔹 Client Interviews;
🔹 Reference check;
🔹 Offer;

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’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