Jobs Data Engineer

Owns the technical direction, quality, and delivery enablement of the data platform within the team. Ensures scalable architecture, reliable releases, and strong engineering practices while enabling the team to deliver efficiently within defined engineering and release standards.

• Responsibilities:

  Architecture & Technical Ownership
  • Owns end-to-end technical design across Snowflake, dbt, ADF, and Azure components
  • Acts as the final technical decision authority within the team
  • Ensures alignment with enterprise architecture and data governance standards
  • Maintains architecture documentation and diagrams
  ________________________________________
  Engineering Excellence
  • Defines and enforces coding standards and best practices
  • Reviews critical PRs and ensures maintainability and scalability
  • Drives performance optimization and cost efficiency
  • Continuously improves development efficiency by reducing technical complexity and removing bottlenecks
  ________________________________________
  CI/CD & Release Ownership
  • Owns and improves CI/CD pipelines and deployment processes
  • Defines and enforces the release process, ensuring it is standardized and consistently followed
  • Establishes release criteria based on Definition of Done, testing, and required approvals
  • Ensures all changes meet release criteria before deployment to production
  • Oversees and coordinates production releases, including validation of readiness and risk assessment
  • Has authority to block releases that do not meet defined quality and governance standards
  • Ensures pipelines enforce quality gates (tests, validations, approvals where required)
  • Continuously improves release safety and reduces production incidents
  ________________________________________
  Quality & Definition of Done
  • Ensures adherence to Definition of Done (including testing and documentation)
  • Works with QA and team to ensure test coverage aligns with acceptance criteria
  ________________________________________
  Team Enablement & Mentoring
  • Mentors engineers and supports technical growth
  • Leads knowledge sharing and supports complex problem-solving
  ________________________________________
  Planning & Delivery Support
  • Contributes to sprint planning with technical estimates, risks, and dependencies
  • Owns identification and prioritization of technical debt in collaboration with the Product Owner
  ________________________________________
  Production Ownership
  • Leads incident analysis and root cause resolution
  • Ensures monitoring, alerting, and data quality validation mechanisms are in place across pipelines and in production
  • Maintains runbooks for operational readiness
  ________________________________________
  Ways of Working
  • Collaborates closely with Product Owner and Scrum Master to align technical delivery with business priorities; supports team continuity and helps facilitate meetings when the Scrum Master is absent
  • Proactively works with upstream data source teams and other squads to resolve cross-team dependencies, data issues, and production bugs
  • Drives technical alignment across teams/squads where shared data models, pipelines, or integrations are involved
  • Acts as the primary technical point of contact for external teams and stakeholders

• Mandatory Skills Description:

  7+ experience in Data Engineering and development of DWH solutions
  Hands-on experience with Snowflake, dbt, Azure Data Factory
  Experience with Azure Cloud Solutions, Azure DevOps
  Practical experience and understanding of CI/CD processes
  Experience of technical leadership in Agile SDLC

• Nice-to-Have Skills Description:

  Experience with AWS and/or GCP cloud solutions
  Certifications related to DWH

Want to work on technologies used by data platforms at a global scale?

We’re looking for Senior and Middle+ Java Engineers to join a long-term cloud data infrastructure project focused on modern Data Lakehouse technologies, distributed systems, and open-source development.

You’ll be building integrations between data processing frameworks and cloud services, improving compatibility across the ecosystem, and contributing to technologies that power large-scale analytics platforms. If you enjoy solving complex backend challenges and working close to the open-source community, this role is for you.

What you’ll be working on

• Develop new features for large-scale data infrastructure components.
• Build integrations between distributed data processing frameworks and cloud storage services.
• Improve compatibility across modern data processing engines.
• Contribute to high-quality, production-grade backend services.
• Participate in architecture discussions and technical design.
• Collaborate with engineers across international teams and contribute to engineering best practices.

Tech stack

Must have

• Java
• Python (working proficiency)
• Experience with at least one of: Apache Flink, Spark, Kafka, or Apache Beam
• Understanding of Data Lake / Lakehouse architecture
• Experience with Google Cloud Platform (BigLake, GCS, KMS, or related services)

Nice to have

• Apache Iceberg
• Open Source contributions
• Experience with distributed systems
• Cross-system integration experience

What we’re looking for

• Strong commercial experience with Java backend development.
• Experience building data-intensive or distributed backend systems.
• Solid understanding of cloud-native architectures.
• Experience working with modern data processing technologies.
• Strong problem-solving skills and ownership mindset.
• Good communication skills and ability to work in a distributed international team.

What we offer

• Paid vacation and sick leave
• 11 official public holidays per year
• Personal Career Development Plan (CDP)
• Challenging engineering projects with modern cloud technologies
• Paid external training, conferences, and professional certifications
• Internal tech talks, workshops, and English classes
• Employee support program (healthcare, legal assistance, partner discounts)
• Corporate library with paper and e-books

If you’re excited about distributed systems, cloud data platforms, and building software that makes an impact beyond a single product, let’s talk!

Apply now or send us a message – we’d love to share more details about the project and see if it’s the right fit for you.

Acropolium, together with its international partner in the energy industry, is looking for an experienced Data Engineer to join a project focused on GDPR compliance and enterprise data lifecycle management.

You will become part of the agile Unlocking & Deletion team, responsible for developing and maintaining an end-to-end data deletion process across multiple enterprise systems. The team builds and enhances the GDPR Orchestrator, ensuring secure, compliant, and automated deletion workflows in accordance with GDPR requirements.

Project Details

• Industry: Energy
• Start Date: August 1, 2026
• End Date: December 31, 2026 (extension possible)
• Location: 100% Remote
• Workload: Full-time
• Languages: German (B2+) and English (B2+)

Responsibilities

• Develop and enhance the GDPR Orchestrator using Apache Airflow and Azure Data Factory
• Integrate new enterprise systems into the end-to-end data deletion process
• Implement new GDPR-compliant deletion scenarios across existing systems
• Optimize data deletion workflows and overall process efficiency
• Reduce technical debt and improve maintainability
• Advise the team on enhancements related to Snowflake and data selection strategies
• Collaborate with technical and business stakeholders to deliver reliable data solutions

Requirements

• Strong commercial experience with Azure Data Factory
• Strong experience with Apache Airflow
• Advanced SQL skills
• Solid understanding of Data Warehousing concepts
• Experience designing and optimizing ETL/ELT pipelines
• Good communication and stakeholder management skills
• Self-driven, organized, and proactive working style
• German – B2 or higher
• English – B2 or higher

Nice to Have

• Experience with Snowflake
• Experience with GDPR compliance and data deletion processes
• Experience working with enterprise data platforms
• Knowledge of cloud-based data architectures

Our Hiring Process

• Intro Call with Recruiter
• Technical Interview
• Client Interview
• Offer Stage

What We Offer
Culture & People-First Approach

• 💙 On average, team members stay at Acropolium for more than 5 years
• 🤝 Strong internal communication & empathy — we're human-first, KPI-second
• 👨‍👩‍👧‍👦 Family values & social engagement are encouraged
• 👋 Warm onboarding and supportive team environment
• 🗣️ Open communication, feedback culture, and support for individual growth

Employee Well-being & Development
 

• 🎖️ Ongoing care and support for employees serving in the military
• 📚 Learning culture with internal knowledge sharing and support for external courses
• 🧭 Personal Development Plans (PDPs) to support long-term career growth

Key Responsibilities  

• Design, build, and maintain scalable, reliable data pipelines (batch and streaming).  
• Develop and optimise data models, warehouses, and lakehouse architectures.  
• Build and automate CI/CD pipelines for data workflows and deployments.  
• Ensure data quality, integrity, lineage, and governance across environments.  
• Implement proactive monitoring and alerting for pipelines and data infrastructure (CloudWatch, Grafana).  
• Manage IaC for consistent, reliable data infrastructure.  
• Troubleshoot and optimise pipeline and query performance across environments.  
• Lead incident resolution and root cause analysis for data systems.  
• Collaborate with analysts, data scientists, and engineering teams, ensuring security, scalability, and operational excellence to understand data requirements and translate them into technical solutions  
• Document data architecture, lineage, and workflows  

Must have  

• 5+ years in data engineering, with solid DevOps/platform engineering exposure.  
• Strong SQL and data modelling skills (dimensional, normalised, lakehouse).  
• Proficient in Python; working knowledge of Scala, Java, or Go.  
• Hands-on experience with data pipeline/orchestration tools (Airflow, DBT).  
• Experience with distributed processing frameworks (Spark, Flink, or similar).  
• Advanced AWS expertise (Glue, EMR, Redshift, Athena, S3, Lambda, Kinesis).  
• CI/CD tools (GitHub Actions, GitLab CI, Jenkins, CircleCI).  
• Infrastructure as Code (CDK, CloudFormation).  
• Experience with streaming/event-driven architecture (Kafka, Kinesis, Apache Flink, or Pub/Sub).  
• Observability tools: Grafana, CloudWatch.  
• Expertise with data warehouse platforms (Redshift, Snowflake).  

Desirable  

• Experience with containerisation and orchestration (Docker, ECS, Kubernetes).  
• Understanding of data governance, cataloguing, and security/compliance (GDPR, lineage tools).  
• Experience with GitHub Enterprise, Atlassian APIs, and Slack bots.  
• Understanding of cost optimisation strategies in multi-cloud and data warehouse environments.  

We are looking for AI/LLM Engineer to join our team and work on cutting-edge AI solutions based on modern Large Language Models. You will be involved in building, fine-tuning, and optimizing AI systems, integrating LLMs into products, and developing scalable AI pipelines and agent-based architectures.

Requirements:

- Commercial experience with Python

- Experience with LLMs

- Strong understanding of prompt engineering

- Experience with AI agent orchestration frameworks

- English level Upper-Intermediate

Responsibilities:

- Develop and optimize AI/LLM-based solutions

- Fine-tune and customize open-source language models

- Build RAG pipelines and embedding-based search systems

- Design and maintain AI agents and orchestration flows

- Collaborate with engineering and product teams

- Research and implement new AI technologies and approaches

Nice to Have:

- Experience with LangChain, LlamaIndex, AutoGen, CrewAI, or similar frameworks

- Knowledge of GPU infrastructure and model deployment

- Experience with Docker and cloud platforms

- Understanding of transformers architecture and Hugging Face ecosystem

We are looking for a highly motivated and results-driven Head of Data & AI to join our team full-time. In this strategic role, you will shape the vision, architecture, and delivery frameworks for Data Engineering, Data Science, Quant and Data Analytics, unifying these teams into a single, high-impact function. This is a key leadership position, guiding both technical and managerial directions for our data organization.
We drive fintech innovation through deep analytical expertise and a data-first, engineering-driven approach.
 

Key Responsibilities
 

Data Engineering

• Design and evolve a scalable, reliable, and maintainable data platform architecture
• Oversee development of robust ETL/ELT pipelines and real-time data streaming systems
• Establish engineering best practices, including code reviews, CI/CD, data contracts, and observability
• Lead technology selection and resource planning across ClickHouse, Spark, and supporting infrastructure
• Ensure data quality through monitoring, alerting, SLA ownership, and remediation processes
• Manage infrastructure costs and drive optimization across storage, compute, and cloud resources
   

Artificial Intelligence & Large Language Models

• Define and develop the company's overall AI direction and roadmap, aligning initiatives with long-term business strategy
• Ensure operational stability and observability of ML services
• Define and drive LLM strategy, including identifying high-value use cases, evaluating model providers (OpenAI, Anthropic, open-source), and leading end-to-end implementation
• Architect and oversee LLM-powered products, including RAG pipelines, AI agents, and intelligent automation workflows integrated into core business processes
• Establish MLOps/LLMOps best practices, including model versioning, evaluation frameworks, prompt management, and drift/hallucination monitoring
• Drive responsible AI governance, including bias detection, explainability (SHAP, LIME), fairness auditing, and compliance with emerging AI regulations
• Evaluate and integrate vector databases (Pinecone, Weaviate, pgvector) and embedding strategies to power semantic search and knowledge retrieval
• Champion AI-assisted development practices (e.g., GitHub Copilot, Cursor) and foster an AI-augmented engineering culture across data teams
   

Data Analytics & Quant

• Drive advanced analytics, strategy, and Quant development
• Partner with stakeholders to translate complex business challenges into data-driven solutions
• Define and own key metrics, dashboards, and reporting frameworks to support executive and board-level decision-making
• Lead experimentation practices to validate business impact of models and initiatives
• Mentor teams, setting technical standards and career development paths
   

Requirements

• 7+ years of hands-on experience across Data Engineering, Data Science, Quant, Data Analytics, delivering end-to-end solutions
• 3+ years of managerial experience, leading data teams
• Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field
• Strong programming skills in Python, with experience writing clean, production-grade code
• Solid understanding of software engineering best practices (CI/CD, testing, code reviews, clean architecture)
• Deep understanding of core ML algorithms: regression, gradient boosting, time series, etc.
• Practical experience with ML libraries and platforms (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch)
• Strong foundation in mathematical statistics, probability theory, and quantitative modeling
• Proficient in SQL and experience with analytical and OLAP databases
• English Upper-Intermediate
   

Nice to Have

• Background in trading or fintech
• Experience analyzing and modeling time series or high-frequency data
• Familiarity with anti-fraud systems, risk modeling, or portfolio analytics
• Practical experience with integration of LLM with corporate systems for internal users
   

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays according to current legislation
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

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 looking for a Platform Engineer to drive critical infrastructure initiatives across our backend systems, with primary ownership of our core platform.
This is a high-impact role where you'll architect scalable solutions that serve our entire engineering organization - core platform services that power our AI editing capabilities.
You'll have the opportunity to shape technical decisions across multiple domains while ensuring our platform systems are robust, reliable, and optimized for growth.

Key Requirements:
🔹 5+ years of experience as a Backend Engineer, with experience building platform services or shared infrastructure;
🔹 B.Sc in Computer Science, Software Engineering, or a related field from a well-known university;
🔹 Proven expertise in backend server development, using languages like Python, Scala, Go, or Java;
🔹 Solid understanding of system design principles, API architecture, and service-oriented architectures;
🔹 Proficiency with AWS services and cloud-based architectures;
🔹 Excellent communication skills for collaborating across engineering, product, and operations teams;
🔹 Proactive mindset, having the will and ability to find areas where optimizations can benefit the entire org;
🔹 English – Upper-Intermediate or higher.

What you will do:
🔹 Drive platform-level initiatives that improve scalability, reliability, and developer experience across our backend systems;
🔹 Collaborate with multiple departments to support new platform features and technical initiatives;
🔹 Monitor platform health, investigating and resolving incidents and reliability issues;
🔹 Develop and optimize shared platform services, APIs, and infrastructure used across engineering teams;
🔹 Create internal tools and frameworks that improve developer productivity and system reliability;
🔹 Drive initiatives to improve observability, monitoring, and operational excellence across our infrastructure;

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

Dataforest is looking for a growth-oriented Data Engineer to join our friendly team. As a Data Engineer, you will solve engaging problems using cutting-edge technologies for data collection, processing, analysis, and monitoring.

If you aren't afraid of challenges, this position is just for you!

You'll be a great fit if you have:

- 1+ years of experience as a Data Engineer;
- Strong experience with Python;
- Proven experience with Databricks and Datafactory;
- Experience with AWS/Azure;
- Experience building ETL / ELT pipelines;
- Proficiency in SQL.

What you'll do:

- Developing ETL/ELT pipelines and data management solutions;
- Implementing data processing algorithms;
- Writing and optimizing SQL queries for data extraction and analysis;
- Analyzing data and applying processing algorithms to solve business problems.

We ensure your growth with:

- Working with a high-skilled engineering team on engaging and complex projects;
- Hands-on experience with the latest technologies;
- Direct communication with international clients and challenging tasks;
- Opportunities for personal and professional growth;
- Competitive salary pegged to USD;
- Paid vacation and sick leave;
- Flexible working hours;
- Friendly working atmosphere with zero bureaucracy;
- Plenty of team traditions — corporate parties, team buildings, themed events, and much more!

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.

You'll be a great fit if you have:

- 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;
- Experience with Kafka;
- Knowledge of data algorithms and data structures is a MUST;
- Working with high volume tables 10m+.

What you'll do:

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

Would be a plus:

- Experience with Spark (pyspark);
- Experience with Airflow;
- Experience in statistics;
- Knowledge of DS and Machine learning algorithms.

We ensure your growth with:

- 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.

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

PwC is seeking an experienced Databricks Platform Engineer to accelerate the maturation of our Databricks platform as a core component of the firm’s Data Mesh and AI-first strategy. This role will help shape the architectural direction, governance model, and enterprise standards that underpin secure and scalable Databricks adoption.

Role Overview

The Databricks Platform Engineer  will be responsible for executing against this strategy by driving service optimization, implementing advanced platform capabilities, and partnering with Product and Engineering teams to enable enterprise-scale adoption across client and corporate use cases.

Key Responsibilities:

• Lead the rollout and optimization of Databricks services at the PwC account level.
• Implement advanced capabilities including Unity Catalog, AI/ML models, Delta Sharing, Automatic Identity Management (AIM/SCIM), and Budget Policies for cost governance and tagging.
• Collaborate with Databricks and PwC platform teams to enhance and enable secure data exchange.
• Support networking design and optimization across Databricks environments.
• Partner with Product and Engineering teams to refine user experience, service provisioning models, and upcoming Databricks capabilities.
• Coordinate cross-functional efforts to enable AI-driven workflows and advanced analytics capabilities within Databricks.

Required Qualifications:

• 5+ years of experience in data engineering, cloud data platforms, or platform architecture.
• 3+ years of hands-on experience with Databricks or comparable modern data platforms.
• Expertise in Unity Catalog, Delta Sharing, Compute (classic and serverless), Microsoft Entra ID (SCIM/AIM), and Azure networking.
• Strong understanding of data governance, access control models, and FinOps best practices.
• Excellent communication skills with the ability to translate complex technical solutions into business value.

Preferred Qualifications:

• Databricks Certified Professional or Azure Databricks Certification.
• Hands-on experience with Databricks, Microsoft Fabric / OneLake, or other enterprise data platforms.
• Prior consulting experience or enterprise-scale platform transformation experience.

Policy statements:
https://www.pwc.com/ua/uk/about/privacy.html

We're looking for a Lead / Principal Data Engineer with deep hands-on expertise in the Microsoft Azure data ecosystem and a strong background in modernizing enterprise data platforms

Responsibilities

• Lead the design and implementation of modern cloud data platforms.
• Build scalable and reliable data pipelines.
• Drive modernization initiatives across enterprise data solutions.
• Mentor engineers and promote engineering excellence.
• Improve platform performance, automation, and reliability.
• Introduce AI-assisted development practices where appropriate.
• Collaborate with architects, engineers, and business stakeholders.
• Own technical decisions and lead by example.

Skills Required

• 8–12+ years of hands-on Data Engineering experience.
• Strong expertise in the Microsoft Azure data ecosystem.
• Extensive experience with Databricks, Spark, Delta Lake, Azure Data Factory (ADF), Azure Synapse, Azure SQL, and SSIS.
• Strong Python and SQL skills.
• Proven experience designing scalable data platforms and large-scale data pipelines.
• Hands-on experience modernizing and migrating legacy data platforms to modern cloud architectures.
• Deep understanding of data modeling and enterprise data architecture.
• Experience implementing modern engineering practices, including AI-assisted software development.
• Ability to translate business requirements into scalable technical solutions.
• Strong communication and stakeholder management skills.
• Leadership mindset with the ability to mentor engineers and drive technical initiatives.

We are looking for a proactive and experienced Senior Microsoft 365 Engineer on a senior level to join our team and help operate, maintain, and continuously improve our Microsoft 365 platform in a large-scale enterprise environment. You are a self-driven professional with strong technical expertise, a passion for automation, and a proven track record of delivering sustainable solutions instead of temporary fixes. You proactively identify opportunities for improvement, take ownership of complex initiatives, and collaborate effectively with stakeholders across the organization

Requirements for the candidate:
Several years of professional experience as a Microsoft 365 Engineer.
Proven experience operating, administering, and continuously improving Microsoft 365 in complex enterprise environments supporting several thousand users.

Strong expertise in:
- Microsoft 365
- Exchange Online
- Microsoft Teams
- SharePoint Online
- OneDrive for Business
- Microsoft Entra ID (including app registration and Enterprise applications)
- Strong PowerShell skills to automate reoccurring tasks.
- Hands-on experience with hybrid environments, including Active Directory and Microsoft Entra Connect.
- Experience with M&A, carve-out, or post-merger integration projects.
- Experience planning and executing complex Microsoft 365 migrations, tenant consolidations, and tenant decommissioning projects.
- A structured and solution-oriented approach with a strong focus on quality.
- Excellent communication skills with the ability to explain technical concepts to non-tech stakeholders.
- Fluent English, both written and spoken. German is a plus.

Candidate responsibilities
- Operate and support Microsoft 365 enterprise services.
- Support the existing team in administering and continuously improving the Microsoft 365 platform.
- Administer, troubleshoot, and optimize Exchange Online, Microsoft Teams, SharePoint Online, OneDrive, and Microsoft Entra ID.
- Automate administrative processes using PowerShell and Microsoft Graph.
- Plan and execute complex Microsoft 365 tenant decommissioning projects.
- Act as point of contact for our User Services team, providing technical guidance and assisting with the troubleshooting of issues affecting the Microsoft 365 platform.
- Analyze and resolve complex technical issues as part of the 3rd Level Support team.
- Create and maintain technical documentation, standards, and operational procedures.
- Collaborate with stakeholders across teams
- Drive Microsoft 365 and Entra ID cleanup activities related to post-integration technical debt, (ex: distribution lists, shared mailboxes, SharePoint sites, Teams, and access-related objects)
- Drive Microsoft 365 related backlog reduction by analyzing recurring support patterns, resolving prioritized issues, and turning repeatable requests into automation, documentation, or sustainable platform improvements

About Digis
Digis is a European IT company with 230+ specialists delivering complex products for 70+ clients across the U.S., Europe, and Canada. We operate in a remote-first environment and focus on long-term collaboration, stable projects, and transparent processes.

About the Project
You will join a long-term project in the promotional products / drop-shipment domain.
The client receives product data from 50+ suppliers in different formats and is now modernizing its data platform. The main goal is to automate supplier data transformation, improve data quality, migrate from the existing Talend ETL tool, and build a scalable GCP-based framework that will serve as a single source of truth for clean product data.

Requirements

• Requirements
• 5+ years of experience as Data Engineer
• 1+ year of experience with GCP
• Upper-Intermediate+ English level

Responsibilities

• Build and maintain automated data pipelines for supplier product feeds
• Normalize different supplier formats into a unified data structure
• Implement data validation, quality checks, and supplier-facing data quality reports
• Store transformed data versions and deliver clean data to internal systems
• Migrate existing Talend ETL workflows to the new GCP-based data stack
• Set up reusable pipeline frameworks for future supplier integrations
• Work with Python, BigQuery, Dataform, Cloud Composer, Terraform, and related GCP tools

Advantages

• Long-term project with an existing business and real production data
• Business-critical data platform with visible impact on client operations
• Opportunity to take ownership of data pipeline automation and modernization
• Work with 50+ supplier data sources and real data quality challenges
• Clear focus on data engineering, automation, transformation, and data quality

We Offer

• 20 paid vacation days per year
• 5 paid sick leaves, no medical certificate required
• Compensation for professional courses
• English learning support
• Work equipment
• Transparent communication and processes
• Opportunity to switch projects within Digis
• Legal and accounting support
• Corporate psychologist

Cargofy is building the AI-native operating system for global freight. Cargofy deploys autonomous AI agents that automate procurement, dispatching, negotiations, operations, tracking, and workflows for carriers, shippers, and 3PLs across the US, Europe, and Asia. Our platform processes 100,000+ loads per day and hundreds of thousands of real-time events — replacing manual logistics with fully autonomous AI.

We need a Backend Engineer (PHP/Laravel) to build and scale the core systems powering our AI logistics platform — from load matching engines to real-time event pipelines processing hundreds of thousands of transactions daily.

Why This Role Matters

Every AI agent in our platform depends on a fast, reliable backend. You will build the infrastructure that lets our AI find loads, negotiate rates, talk to drivers, run tenders, and manage shipments — all autonomously. When you ship code, it reaches thousands of logistics companies within days.

What You Will Do

• Design and build backend services for the Cargofy platform — APIs, event-driven pipelines, job queues, and real-time processing
• Build integrations with third-party systems: ERPs (including Odoo), TMS platforms, ELD providers, load boards, and messaging services
• Work directly with AI modules — LLM orchestration, Voice AI, scoring engines, and autonomous decision-making pipelines
• Optimize high-load processes: queues (Redis + Horizon), scheduling, notifications, and webhook handling at scale
• Design modular, maintainable architectures (Laravel modules / multi-service patterns)
• Write tests for critical business logic and participate in code reviews

Tech Stack

• PHP 8.x — strong OOP, PSR standards, clean code
• Laravel — deep understanding of framework internals, service container, Eloquent, events
• PostgreSQL — optimized queries, indexing strategies, large-scale data
• Redis, Horizon — queues, caching, real-time event processing
• Event-driven architecture, WebSockets, REST API design
• PHPUnit, CI/CD pipelines, Docker

Who You Are

• 3+ years of production PHP/Laravel experience
• You think in systems, not isolated tasks — you understand how your code affects the entire platform
• Independent and proactive — you propose solutions and architectural improvements, not wait for tickets
• Obsessed with performance, stability, and code quality
• Excited about building backend that must handle millions of events across 3 continents

Why Cargofy

• Your code ships to production within days and is used by thousands of logistics companies
• Work at the frontier of applied AI — our agents make real phone calls, negotiate real rates, and manage real shipments
• Competitive compensation + stock options for top performers
• Clear OKR system, strong engineering culture, and a team that ships daily
• Remote-first with offices in Kyiv, Warsaw, and Houston

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)

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