Jobs Data Engineer

We are looking for an experienced Infrastructure & Virtualization Engineer to manage, design, and improve server, storage, virtualization, and cloud infrastructure. This role is ideal for a hands-on infrastructure professional with a strong builder mindset - someone who has designed and implemented systems, not only supported them.

Key Responsibilities

• Manage and monitor company’s server and storage infrastructure, both on-premises and in the cloud.
• Install, configure, test, and maintain operating systems, application software, and system management tools.
• Ensure high availability, reliability, and performance of systems and infrastructure.
• Provide Tier 3 IT support to business units across the organization.
• Design and deliver solutions for complex IT infrastructure challenges.
• Collaborate with other departments to support company goals and technology initiatives.
• Identify opportunities to improve existing processes, automate repetitive tasks, and evaluate new technologies that enhance the end-user experience.

Requirements

Must-Have Experience

• 6+ years of hands-on infrastructure experience.
• Strong hands-on experience with VMware vSphere 6.x / 7.x, including installation, configuration, and system design.
• Strong knowledge of the Microsoft infrastructure stack, including:
  • Active Directory
  • DNS
  • DHCP
  • AD Connect
  • Windows Server
• Solid understanding of networking, operating systems, routing, and security fundamentals.
• Proven experience designing and building infrastructure environments, not only supporting existing systems.
• Security-conscious approach to system design, patching, access control, and infrastructure operations.

Cloud & Identity Management

• Hands-on experience with the Microsoft Azure ecosystem, including:
  • Microsoft Entra ID, formerly Azure AD
  • Identity and access management
  • SSO
  • Role-based access control
• Experience with Microsoft 365 services, including:
  • Exchange Online
  • Teams
  • SharePoint
• Experience with Microsoft Endpoint Manager / Intune.
• Experience with AWS services, especially:
  • EC2
  • S3
  • Route 53
  • FSx
• Understanding of hybrid cloud architectures and basic cloud security controls.

Virtualization & Infrastructure

• Hands-on experience with VMware-based infrastructure.
• Familiarity with physical servers and data center maintenance lifecycle.
• Experience with infrastructure design, implementation, upgrades, and ongoing optimization.

Operating Systems

• Strong working knowledge of:
  • Windows Server
  • Windows Client OS
  • Linux distributions
  • macOS
• Experience managing macOS endpoints with Jamf Pro or similar enterprise tools.

Storage & Backup

• Hands-on experience with NAS / SAN systems.
• Experience with storage platforms such as:
  • NetApp
  • QNAP
  • BlueXP
• Familiarity with backup systems, preferably Commvault / Metallic - advantage.

Scripting & Automation

• Proficiency in PowerShell and/or Python for system administration, automation, and process improvement.

   

Nice to Have

• Experience with NetApp or other enterprise storage platforms.
• Experience with Commvault / Metallic.

• Broader experience with hybrid cloud infrastructure and automation.

   

Soft Skills

• Self-managed and able to work independently.
• Proactive, improvement-driven, and solution-oriented.
• Strong troubleshooting and problem-solving skills in enterprise-scale production environments.
• Excellent interpersonal and communication skills.
• Ability to work effectively across teams and business units.
• Fluent English - written and verbal.

About us

Entravel is a member’s club for discounted luxury travel and whitelabel hotel platform provider focusing on the crypto industry, backed by VCs and prominent European founders. Our hotel product is incredibly strong; we offer more than one million properties, and our rates are amongst the lowest in the world. In fact, on most 5* hotels you won’t find a platform with lower rates than Entravel.

Your role

We are looking for a Data Engineer to automate and scale high-volume data workflows, with a strong focus on hotel and room mapping across multiple data sources.
This is an ownership-heavy role: you will take full responsibility for turning a manual, repetitive process into a reliable, scalable system and ensuring it runs correctly in production.

What you’ll do

• Own the end-to-end automation of hotel and room mapping workflows;
• Take responsibility for delivery, correctness, and reliability of the mapping outputs;
• Design and build data pipelines (ingestion → transformation → output);
• Translate manual mapping logic into scalable systems;
• Implement rule-based and fuzzy matching techniques for entity resolution;
• Leverage LLMs to improve mapping accuracy, classification, and edge-case handling;
• Normalize and clean inconsistent, messy real-world data;
• Build monitoring, validation, and retry mechanisms;
• Continuously improve pipeline performance and mapping accuracy.

Ownership & responsibility

• You own the mapping system in production;
• You are responsible for data quality, accuracy, and failure handling;
• You proactively identify gaps, edge cases, and inefficiencies;
• You define and evolve the mapping logic and data model;
• You ensure issues are detected, debugged, and resolved quickly;
• You drive the reduction of manual work and operational overhead.

What we’re looking for

• 3–6 years of experience in data engineering or similar roles;
• Strong Python and SQL;
• Experience building pipelines from scratch;
• Experience working with messy, third-party, or unstructured data;
• Experience with entity matching / deduplication / normalization;
• Hands-on experience using LLMs in production workflows;

Strong sense of ownership: you take responsibility for outcomes.

Nice to have

• Experience with Rust for performance-critical components;
• Familiarity with workflow orchestration tools (e.g. Airflow or similar);
• Experience with embeddings, vector search, or semantic matching;
• Background in travel, hospitality, or similar domains.

What success looks like

• Clear ownership of the mapping domain from day one;
• Significant reduction in manual work within the first 1–2 months;
• Stable, reliable pipelines running in production;
• Measurable improvement in mapping accuracy over time;
• Fast resolution of issues and continuous system improvements.

We offer

• Work schedule: full-time;
• Duration of the cooperation: Long-term;
• Flexible Start: Set your own comfortable working hours that accommodate your individual needs.
• Competitive Salary: High standards of remuneration reflecting your contribution and skills.
• Vacation: Enjoy 22 days of vacation for full rejuvenation and life enjoyment.
• Sick Leave: Ensure your health with 15 days of sick leave per year.
• Special Leave Cases: Support for significant life events such as weddings, childbirth, or the loss of a close family member.

🌎Akvelon is an American company with offices in Seattle, Mexico, Ukraine, Poland, and Serbia. Our company is an official vendor of Microsoft and Google. Our clients also include Amazon, Evernote, Intel, HP, Reddit, Pinterest, AT&T, T-Mobile, Starbucks, and LinkedIn. To work with Akvelon means to be connected with the best and brightest engineering teams from around the globe and working with an actual technology stack building Enterprise, CRM, LOB, Cloud, AI and Machine Learning, Cross-Platform, Mobile, and other types of applications customized to client’s needs and processes.

About the project: We’re looking for a Senior AI Engineer to join a digital transformation initiative at a leading global private equity firm. The project focuses on building AI-driven solutions — including document AI and LLM-based systems — to automate insights extraction from complex financial materials and support investment decision-making, valuation, and due diligence workflows.

About the role: You’ll design and build end-to-end AI systems: LLM pipelines, RAG architectures, and automated evaluation frameworks. Responsibilities include fine-tuning models, designing accuracy and hallucination evaluation metrics, and integrating AI solutions into core business processes. The role combines deep ML/LLM expertise with the ability to translate model outputs into actionable business insights.

Requirements:

Must have:

• Strong Python and ML ecosystem experience (PyTorch / TensorFlow / Hugging Face)
• Ownership of agent-based systems
• Hands-on experience with LLM systems (fine-tuning, evaluation)
• Solid understanding of RAG architectures
• Cloud platforms and Docker

Nice to have:

• Knowledge of finance or private equity domain
• MLOps experience
• Business analytics understanding
• Background in finance, consulting, or technology projects
• Experience with production multi-agent systems

Benefits:

• Paid vacation and sick leave
• Official state holidays — 9-11 public holidays per year
• Professional growth through challenging projects and the opportunity to master new technologies
• Flexible working schedule: 8 hours per day, 40 hours per week
• Personal Career Development Plan (CDP)
• Employee support programs (discounts, healthcare, legal assistance)
• Paid external training, conferences, and professional certifications aligned with business goals
• Internal workshops, seminars, and English classes
• Corporate library with paper and e-books

This position is not open to U.S.-based applicants.

If this role sounds like a match, apply now and send us your CV.

Atto Trading, a dynamic quantitative trading firm founded in 2010 and leading in global high-frequency strategies, is looking for a Data Engineer to join our team.
We are expanding an international, diverse team with experts in trading, statistics, engineering, and technology. Our disciplined approach, combined with rapid market feedback, allows us to quickly turn ideas into profit. Our environment of learning and collaboration allows us to solve some of the world’s hardest problems, together. As a small firm, we remain nimble and hold ourselves to the highest standards of integrity, ingenuity, and effort.

At Atto Trading, data is the foundation of every trading decision we make. As a Senior Data Engineer, you will own and evolve the on-premise Data Lake that powers our quantitative research and production trading - a system handling 1PB+ of market data today and growing by 100TB each year.

The Role

You will take end-to-end ownership of our data infrastructure: from architecting high-performance storage on our VAST platform to designing the pipelines that deliver clean, reliable market data to traders and researchers. This is a high-ownership role in a small, fast-moving team where your work directly shapes our research and trading capabilities.

What You'll Do:

• Design and manage scalable on-premise storage systems optimized for high-throughput analytics and research workloads
• Build and operate end-to-end ETL/ELT pipelines (Prefect/Airflow) for market data across US Equities, Futures, SIP feeds, and other sources
• Implement data quality validation frameworks and SLA/SLO monitoring to detect anomalies and ensure data completeness
• Develop metadata and catalog layers for efficient data discovery and self-service access across the firm
• Design event-driven architectures for near real-time market data processing and delivery

• Conduct structured intake sessions with quant researchers to map their data access patterns, query workloads, latency needs, and iteration cycles

   

What We're Looking For

• 5+ years of experience in data engineering or data platform roles, with proven large-scale infrastructure ownership (100TB+)
• Strong understanding of market data structures: trades, quotes, order books, corporate actions
• Production-grade Python and SQL; experience building APIs (FastAPI or equivalent)
• Experience with DAG orchestration tools (Prefect, Airflow or similar)
• Deep familiarity with binary columnar storage formats (Parquet, Feather/Arrow IPC), including encoding strategies, compression tuning, row group sizing, predicate pushdown and schema evolution trade-offs
• Design namespace structure, tiering strategies, and protocol selection (NFS/S3) on VAST, optimizing for mixed workloads (experience with Vast Database and Vast Data engine is a plus)
• Bachelor's in Computer Science, Engineering, or equivalent; 
• Quantitative finance background is a plus

What We Offer:

• Competitive compensation with a performance-based bonus
• 25 days PTO
• Healthcare and gym budget
• Mental health support
• Paid lunches
• Relocation assistance
• Learning budget for courses and certifications
• All within a modern office and a team that genuinely loves what it builds

Meet the YozmaTech

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 currently looking for a Senior DevOps Engineer to join a fast-growing product company in the mobile gaming space. The company is building a leading direct-to-consumer platform for mobile games — created by game makers, for game makers. The product helps publishers sell directly to their players, increasing profits by up to 35% while strengthening player relationships and loyalty.

As an all-in-one platform, it provides everything needed to go direct: fully branded web stores, gamified offers, global payment solutions, and mobile in-app payments SDKs.

Today, the platform powers stores for over one-third of the top-grossing mobile games and supports 500+ payment methods and 80 currencies worldwide.
The company is headquartered in Tel Aviv and backed by top-tier investors, with a leadership team coming from well-known gaming companies.

Key Requirements:

🔹 5+ years of experience in DevOps / SRE / Infrastructure Engineering roles;
🔹 Deep experience with Kubernetes, Helm, Terraform, and modern CI/CD tooling;
🔹 Familiarity with GitOps principles and tools (ArgoCD preferred);
🔹 Solid understanding of cloud platforms (AWS, GCP) and networking (VPC, ALBs, DNS);
🔹 Proficiency with observability tools and log aggregation systems;
🔹 Experience with AI tools and technologies;
🔹 Awareness of security best practices (IAM, MFA, vulnerability scanning, SOC2 fundamentals);
🔹 Experience with ephemeral or on-demand environments – big plus;
🔹 Ability to navigate between automation and security/compliance requirements;
🔹 Comfortable with scripting in Bash, Python, or Go;
🔹 English - Upper-Intermediate or higher.

What you will do:

🔹 Design and maintain GitOps-based CI/CD workflows (ArgoCD, Helm, GitHub Actions);
🔹 Manage ephemeral environments for every PR or feature branch using K8s, Crossplane, and Terraform;
🔹 Build and enforce secure deployment practices (e.g., MFA, role-based access, audit trails);
🔹 Improve and maintain observability stacks (Prometheus, Grafana, New Relic, OpenTelemetry);
🔹 Implement deployment safety mechanisms: canary analysis, B/G deployments, rollback policies;
🔹 Support performance, incident response, and SLO tracking across services;
🔹 Collaborate with backend teams to define and automate FinOps-aware environments;
🔹 Assist in managing Confluent Kafka, MongoDB Atlas, and cloud-native services (EKS, GCP, AWS);
🔹 Help build secure workflows across VPN, SSO (Google Workspace), secret scanning, and IaC;

Interview stages:

🔹 HR Interview;
🔹 Pro-Interview;
🔹 Technical Interview;
🔹 Reference Check;
🔹 Offer;

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products - and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.

From day one, you’ll get:

🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer. You’ll always know what project you’re joining - and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

We are looking for a Senior Database Engineer. You will be part of a team that will architect highly efficient services, making a scalable, performant and well-tested software solution that is focused on building business visibility portal in Supply Chain domain

Innovecs is a global digital services company with a presence in the US, the UK, the EU, Israel, Australia, and Ukraine. Specializing in software solutions, the Innovecs team has experience in Supply Chain, Healthtech, Collaboration Tech, and Gaming.

For the fifth year in a row, Innovecs is included in the Inc. 5000, the list of fastest-growing private companies in the US, and a ranking of the best global outsourcing service providers by IAOP. Recently, Innovecs was honored with the prestigious Global Good Awards for the Employee Engagement & Wellbeing, won gold at the Employer Brand Management Awards, and was included in the Global Top 100 Inspiring Workplaces Ranking.

Our value to you: 

• Flexible hours and remote-first mode
• Competitive compensation
• Complete Hardware/Software setup – anything you need for work
• Open-door culture, transparent communication, and top management at a handshake distance
• Health insurance, vacation, sick leaves, holidays, paid maternity/paternity leave
• Access to our learning & development center: workshops, webinars, training platform, and edutainment events
• Virtual team buildings and social activities 

If you feel like you’re the perfect match for this role, drop us your CV! 

There are no limitations, no barriers when the right people are on your way — apply for the vacancy and succeed with us!

Innovecs is an equal opportunity employer. All hiring decisions are based on professional qualifications, skills, and experience. We are committed to a transparent, merit-based recruitment process that prevents discrimination and ensures equal opportunities for all candidates. Reasonable accommodations are available upon request throughout the recruitment process to support accessibility and inclusion. 

Requirements

• 5+ years of experience in database engineering or a similar role
• Hands-on experience with SQL Server in a cloud environment
• Working knowledge of Snowflake
• Familiarity with data pipeline tools, preferably within Azure
• Experience in or exposure to the logistics / supply chain industry is a plus
• English proficiency sufficient for daily team communication

Responsibilities

• Develop and maintain SQL Server databases within the Azure cloud environment
• Build and support data pipelines using Azure Data Platform services
• Work with Snowflake data warehouses — query writing, data modeling, performance tuning
• Translate business requirements into reliable data solutions
• Monitor database performance, troubleshoot and resolve issues
• Maintain data quality, integrity, and security standards
• Document database designs, processes, and data flows

Fit4Me is looking for a Data Engineer whose main goal will be to design, build, and maintain scalable data infrastructure that supports analytics, reporting, and business decision-making across the company.
This role is focused on developing reliable data pipelines, integrating multiple data sources, ensuring data quality, and delivering business-oriented data solutions aligned with product and company goals.

This role is a great fit if you:

• Work confidently with SQL (BigQuery), Python, dbt, Google Cloud Platform (GCF, GCS, Cloud Build, Cloud Scheduler, Pub/Sub, IAM), and Data Modeling.
• Enjoy working with data at the infrastructure level and want to build a strong foundation for analytics.
• Feel comfortable handling large-scale datasets, complex transformations, and multiple data sources at the same time.
• Can identify potential issues in data and processes before they affect business results.
• Like working closely with analysts and cross-functional teams to build practical and scalable data solutions.
• Combine technical depth, systematic thinking, and ownership of results.

Impact Areas:

• Building and maintaining ELT processes for collecting, transforming, and loading data from multiple sources into BigQuery.
• Developing and scaling the dbt project for data modeling (stage, base, intermediate, dimension, report layers) used for analytics and reporting.
• Optimizing pipeline performance, SQL queries, and data models to improve efficiency and reliability.
• Validating, testing, and ensuring data quality across all stages of the data pipeline.
• Setting up monitoring and alerting for data pipelines and key infrastructure components.
• Integrating data from multiple sources (mobile app, finance, marketing), including APIs and external systems.
• Working closely with analysts to ensure data is well-structured, easy to use, and supports business needs.
• Maintaining up-to-date documentation for data architecture, ELT processes, and dbt models.
• Tools you’ll work with: SQL, Python, dbt, and GCP cloud services for building and maintaining data pipelines.

What we expect from you:

• 3+ years of experience as a Data Engineer or in a related role with a strong focus on pipelines and data modeling.
• Deep knowledge of SQL: complex queries, optimization, and understanding of Data Warehousing principles.
• Hands-on experience with BigQuery, Snowflake, Redshift, or other analytical data warehouses.
• Practical experience with dbt, including testing, documentation, and CI/CD integration.
• Experience building and maintaining ELT / ETL pipelines.
• Strong Python skills for integrations, automation, and data processes.
• Confident use of Git and experience working with GitHub / GitLab.
• Experience with GCP or other cloud platforms.
• Strong attention to detail, problem-solving mindset, and ownership of results.
• Experience working closely with analysts and understanding their data needs.

Nice to have:

• Experience optimizing cost efficiency and query performance in cloud environments.
• Experience with real-time / streaming data solutions.
• Ability to explain technical solutions clearly to business stakeholders.

Hiring process:
Recruiter Interview → Interview with Product Analyst and Data Engineer → Final Interview with HRD → Job Offer 🚀

Looking for a Data Engineer to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

Skills requirements:
• 2+ years of experience with Python;
• 2+ years of experience as a Data Engineer;
• Experience with Pandas;
• Experience with SQL DB / NoSQL (Redis, Mongo, Elasticsearch) / BigQuery;
• Familiarity with Amazon Web Services;
• Knowledge of data algorithms and data structures is a MUST;
• Working with high volume tables 10m+.

Optional skills (as a plus):
• Experience with Spark (pyspark);
• Experience with Airflow;
• Experience with Kafka;
• Experience in statistics;
• Knowledge of DS and Machine learning algorithms..

Key responsibilities:
• Create ETL pipelines and data management solutions (API, Integration logic);
• Different data processing algorithms;
• Involvement in creation of forecasting, recommendation, and classification models.

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.

Are you a Senior Backend Engineer passionate about building scalable AI-driven systems? Join us at Sigma Software to work on a cutting-edge platform that transforms how large-scale engineering organizations manage and analyze complex technical data.
This is a remote position with flexible locations across Europe, Ukraine, and LATAM. You will be part of an innovative team leveraging AI, semantic graphs, and distributed processing to deliver impactful solutions.
At Sigma Software, we value expertise, creativity, and collaboration. Why join us? You will work with advanced technologies, contribute to mission-critical projects, and be part of a company recognized for excellence and innovation.

CUSTOMER
Our customer operates in the AdTech industry, delivering advanced technology solutions that optimize advertising performance and audience targeting. While the name is confidential, the organization is known for leveraging cutting-edge AI and data-driven strategies to enhance campaign effectiveness and deliver measurable business impact.

PROJECT
We are developing a next-generation AI-powered Knowledge Base and Gap Analysis platform for SysML-based engineering environments. The system enables large-scale engineering organizations to ingest, structure, analyze, and reason over complex MBSE artifacts and technical documentation. It supports both cloud and secure classified environments, improving traceability, identifying gaps, and enhancing decision-making in mission-critical projects.

Responsibilities

• Design and develop scalable AI-powered backend systems for SysML-based engineering environments
• Build and maintain distributed data ingestion and ETL pipelines for large-scale engineering artifacts and technical documentation
• Develop and optimize LLM-powered workflows for metadata extraction, semantic analysis, and entity resolution
• Implement AI agents and multi-agent orchestration workflows
• Design and improve RAG-based architectures and semantic retrieval pipelines
• Develop graph-based knowledge representation and traceability analysis solutions
• Work with graph databases, graph processing libraries, and semantic relationship modeling
• Build and optimize distributed data processing workflows using Apache Spark
• Collaborate with cross-functional engineering teams to integrate AI capabilities into platform services
• Design scalable and high-performance APIs and backend services
• Improve system reliability, scalability, observability, and performance across distributed environments
• Participate in architecture discussions and technical decision-making processes
• Contribute to cloud-native infrastructure and deployment workflows
• Support deployments in secure, air-gapped, or classified environments when required
• Create and maintain technical documentation and engineering best practices

Qualifications

• At least 5 years of commercial experience in software engineering, Data Engineering, or AI systems development
• Strong production experience with Go, Rust, or Scala
• Hands-on experience building distributed and scalable systems
• Practical experience with LLM-based applications and AI integrations
• Experience building AI agents and multi-agent systems
• Strong understanding of RAG architectures and semantic retrieval workflows
• Hands-on experience with graph technologies, graph libraries, or graph databases
• Experience with Apache Spark and distributed data processing
• Strong understanding of ETL pipelines and large-scale data ingestion workflows
• Experience with cloud-native infrastructure and distributed environments
• Practical experience with backend platform development and API integrations
• Good understanding of semantic search, entity resolution, and metadata extraction
• Experience working with highly scalable and high-performance systems
• Strong problem-solving and communication skills
• Upper-Intermediate level of English

WILL BE A PLUS

• Background in Data Engineering
• Experience with Knowledge Graphs and graph-based semantic modeling
• Familiarity with MBSE or SysML environments
• Experience supporting air-gapped or classified environments
• Experience with vector databases and embedding pipelines
• Experience with Kubernetes and cloud platforms such as AWS, GCP, or Azure

Additional information

PERSONAL PROFILE

• Analytical mindset with strong problem-solving skills
• Ability to work independently and in a distributed team
• Adaptability to secure and classified environments
• Strong communication and collaboration abilities
• Passion for AI-driven engineering solutions

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.