Jobs Data Engineer

Location: Warsaw

The Project
You'll be joining a platform that's redefining how private capital markets operate — think PE firms, venture funds, and hedge funds using AI to make faster, smarter decisions on complex financial data.
This isn't a maintenance role. You'll be one of the key engineers shaping the data foundation of an AI-native PaaS/SaaS product from the ground up: designing schemas that LLMs can actually reason over, building pipelines that don't fall apart under real enterprise load, and untangling the legacy architecture that got the product to where it is today.
The problems are genuinely hard. The data is messy, the domain is complex, and the stakes are high — which is exactly what makes it interesting.

What You'll Be Working On
 

• Architect cloud-native data topologies and AI-friendly ontologies for structured and unstructured financial data
• Design and own scalable ETL/ELT pipelines using Prefect or Airflow
• Reverse-engineer and optimize existing data infrastructure

• Implement data governance, security standards, and CI/CD practices across the data layer

   

What We're Looking For

Must-have:

• 3+ years with Python (Pandas, ETL frameworks)
• 5+ years with complex SQL and RDBMS
• 5+ years of ETL orchestration (Airflow, Prefect)
• Hands-on experience with cloud DW: Redshift, Snowflake, or RDS
• Strong grasp of data modeling — OLAP, OLTP, Star/Snowflake schemas
• English B2+ — you'll communicate directly with the founding team

Nice to have: Docker, Kubernetes, PySpark, AWS Lambda, cloud certifications

Why This Role
 

• You'll have real architectural ownership, not just ticket execution
• The domain (private capital + AI) is genuinely niche and growing fast
• Direct access to founders — short feedback loops, no bureaucracy
• A team that takes engineering quality seriously and actually means it
   

Hiring Process Intro call → Technical Interview → Final with Founding Team

 

On behalf of our client, we are looking for a Solution Architect (Digital Commerce / SF Data Cloud) 

Requirements:

- Bachelor’s degree in Computer Science or related field

- 5+ years of client-facing experience in consulting / professional services

- Proven track record in designing and selling eCommerce solutions

- Strong experience with enterprise platforms (SFCC, SAP Hybris, Magento)

- Hands-on experience with SF Data Cloud (must-have)

- Experience leading projects end-to-end

- Strong business communication and stakeholder management skills

- Proactive, self-driven, and collaborative mindset

Company offers:

- Long-term employment with possibilities for professional growth

- Fully remote work

- Reasonably flexible schedule

- 15 days of paid vacation

- Regular performance reviews

Join a Company That Invests in You

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

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

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.

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)

We are looking for a Data Engineering Specialist who is passionate about building systems that shape business outcomes. This role will play a key role in designing, building, and optimizing the data platform.

You will drive and manage large-scale data migration and modernization initiatives, and work with cross-functional teams to deliver trusted, high-quality data that drives business intelligence, analytics, and innovation. 

As a Data Engineering Specialist, you will be at the forefront of building scalable pipelines, architecting data solutions, and ensuring the data platforms can support real-time insights and long-term growth. 

Responsibilities and Duties: 
• Take ownership of coding and solution design while collaborating with internal and external engineers on design, development, and deployment of data pipelines and solutions. 
• Design and implement end-to-end data migration strategies from legacy systems to modern cloud platforms. 
• Manage data architecture and data modernization initiatives, ensuring alignment with business goals, data governance policies, and performance requirements. 
• Develop and optimize ETL/ELT pipelines using modern tools and frameworks (e.g., Apache Spark, Databricks, Airflow, dbt). 
• Work with stakeholders to gather requirements and translate them into scalable and maintainable data solutions. 
• Ensure data quality, reliability, and integrity through robust testing and monitoring. 
• Drive best practices in DevOps for data – CI/CD. 
• Mentor and provide technical guidance to data engineers.

Qualifications Required: 
• 7+ years of relevant experience in Data Engineering / Analytics domain with at least 3 years in Digital Analytics 
• 7+ years of experience in SQL 
• 4+ years in Python 
• Experience with building a data lake over Cloud / Azure, ADF, Synapse, and Databricks – Delta Lake 
• Proven expertise with tools like ADF, Qlik Replicate, FiveTran for data integration and ETL processes. 
• Strong understanding of Python scripting and use of libraries (NumPy, Pandas) 
• Extensive hands-on experience with MS Fabric, including data warehousing, SQL optimization, and cluster management. 
• Strong knowledge of Big Data technologies such as Data Bricks, Event driven data processing using Function Apps/Lambda is preferred • Understanding of Web services (SOAP, XML, UDDI, WSDL) 
• Strong knowledge and experience in event driven architecture using standard message queues (i.e.RabbitMQ, SQS or Kafka) 
• Hands on Experience parsing NOSQL file systems such as JSON, XML, AVRO, Parquet. 
• Proven track record of using Apache Spark Data Bricks. 
• Hands-on experience with Azure Data Factory (ADF), Logic Apps, and Runbooks. 
• Exposure to traditional BI Tools (Tableau, Power BI, Qlik, SSRS, etc.) 
• Experience building web-services is a plus. 

Full-time remote job

Project Overview

UADAMAGE is hiring a Data Engineer to join a cross-functional team working on a national-scale Big Data platform for Ukraine. The project focuses on building a geospatial platform for multifactor analysis of territories to support demining and recovery planning. The system integrates remote sensing, environmental and socio-economic indicators, and includes both Big Data infrastructure and AI/ML modules. The platform is under active development with support from governance and international partners.

Role Summary

Design and maintain scalable and sustainable data pipelines within the platform to ensure timely, accurate, and consistent integration of multi-source data. Develop and support workflows for data ingestion, cleansing, normalization, and transformation from internal and external sources (e.g. government systems, commercial registers, API feeds). Ensure compatibility of all data pipelines with downstream use in GIS systems, land analysis models, dashboards and reports. Execute basic data analysis. Collaborate with product, analytics, and engineering teams to maintain data quality and feasibility for decision-support tools. Support data architecture evolution, implement data processing best practices, and contribute to technical documentation.

Qualifications required

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related fields.
• 3+ years of experience in data engineering or data platform development.
• Proven experience in building and maintaining data pipelines (ETL/ELT), performing data cleansing, normalization, and transformation of structured and unstructured datasets.
• Hands-on experience with technologies such as Python, PySpark, Scala, SQL, Pandas, NumPy and tools including Apache Spark, Hadoop, and Amazon EMR.
• Experience working with AWS-based platforms, including S3 and cloud-native data processing services.
• Practical knowledge of streaming frameworks and distributed data processing patterns, such as MapReduce and real-time cloud pipelines.
• Experience integrating data from diverse sources (relational databases, APIs, satellite/geospatial data, file systems) for use in analytical models and data management platforms.
• Understanding of data integration strategies, API/data services, and long-term system maintainability.
• Familiarity with best practices in data documentation, versioning, metadata tracking, and validation.
• Familiarity with geospatial data formats, geo coordinate systems, and spatial preprocessing is an asset.
• Experience working in complex or multi-stakeholder environments is an asset.

• Proficiency in Ukrainian and English is required.

   

We offer

• Competitive salary
• Motivated and engaged team
• Open communication and active knowledge sharing
• Direct support from project leadership
• Clear specifications and well-defined requirements
• Opportunity to contribute to a high-impact, nationally relevant initiative

Requirements

Total of 5+ years of development/design experience with a minimum of 5 years experience in Big Data technologies on-prem or on cloud.
Experience with architecting, building, implementing and managing Big Data platforms On Cloud, covering ingestion (Batch and Real time), processing (Batch and Realtime), Polyglot Storage, Data Analytics and Data Access
Good understanding of Data Governance, Data Security, Data Compliance, Data Quality, Meta Data Management, Master Data Management, Data Catalog
Proven understanding and demonstrable implementation experience of big data platform technologies on cloud (AWS and Azure) including surrounding services like IAM, SSO, Cluster monitoring, Log Analytics etc
Experience working with Enterprise Data Warehouse technologies, Multi-Dimensional Data Modeling, Data Architectures or other work related to the construction of enterprise data assets
Strong Experience implementing ETL/ELT processes and building data pipelines including workflow management, job scheduling and monitoring
Experience building stream-processing systems, using solutions such as Apache Spark, Databricks, Kafka etc…
Experience with Spark/Databricks technology is a must
Experience with Big Data querying tools
Solid skills in Python
Strong experience with data modelling and schema design
Strong SQL programming background
Excellent interpersonal and teamwork skills
Experience to drive solution/enterprise-level architecture, collaborate with other tech leads
Strong problem solving, troubleshooting and analysis skills
Experience working in a geographically distributed team
Experience with leading and mentorship of other team members
Good knowledge of Agile Scrum
Good communication skills

 #LI-OE1

#LI-Remote

Job responsibilities

Work directly with the Client teams to understand the requirements/needs and rapidly prototype data and analytics solutions based upon business requirements
Design, implement and manage large scale data platform/applications including ingestion, processing, storage, data access, data governance capabilities and related infrastructure
Support Design and development of solutions for the deployment of data analytics notebooks, tools, dashboards and reports to various stakeholders
Communication with Product/DevOps/Development/QA team
Architect data pipelines and ETL/ELT processes to connect with various data sources
Design and maintain enterprise data warehouse models
Take part in the performance optimization processes
Guide on research activities (PoC) if necessary
Manage cloud based data & analytics platform
Establishing best practices with CICD under BigData scope

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

!! A solid GCP background is critical for both roles.

Required: 

We need Data Engineer or Solution Architect. The organisation brings together a multidisciplinary team including data scientists, actuaries, statisticians, business analysts, strategy consultants, engineers, technologists, programmers, and product developers — all focused on leveraging data to drive meaningful, transformational outcomes.

Project Overview:

As a fully diversified leader in data science and AI, the company operates across multiple sectors and continues to grow rapidly — and with growth comes opportunity. The team is passionate about bringing together smart, curious, and driven individuals who enjoy solving complex problems.

Responsibilities:

Develop product and solutions together with the project team

Requirements (Must-have):

- Cloud

- Google Cloud Platform (GCP)

- BigQuery

- Vertex AI

- Cloud Composer

- Cloud Functions

Programming

- Python

- SQL

- dbt

DevOps & Infrastructure

- Docker

- Kubernetes

- GitHub

- CI/CD pipelines

Additional:

- Experience with AI / ML

Hiring Process:

Intro call

Technical discussion (focused on real experience)

Offer

Start: ASAP

What We’re Looking For

• Strong foundation in cybersecurity
• Hands-on experience with at least one major cloud platform (AWS preferred; Azure or GCP also valid). Comfort navigating services, permissions models, and APIs/SDK concepts.
• Ability to translate security and customer needs into high-value product work (prioritization, impact vs effort, clear definitions of “done”).
• Good communication skills: you can explain security decisions and tradeoffs to both technical and non-technical stakeholders.
• Solid engineering literacy (you can read and review code, reason about reliability and edge cases). Deep coding expertise is not required.

Bonus Points For

• Experience with CSPM/CNAPP tools, security research, or building detection/analytics pipelines.
• Familiarity with cloud telemetry/log sources and correlating security signals.
• Comfort with Infrastructure as Code concepts (e.g., Terraform) and cloud-native environments.

We are looking for a Data / Automation Engineer to work from our office and help build, optimize, and scale automation workflows and data processes.

Location:

Office-based (full-time, on-site)

Requirements:

• Strong SQL skills (JOINs, aggregations, query optimization)
• Understanding of APIs (REST, webhooks)
• Experience with automation tools (n8n, Zapier, or similar)
• Basic understanding of data pipelines (ETL / ELT)
• Experience working with databases (ClickHouse, PostgreSQL, or others)

Nice to have:

• Basic or higher level of Python
• Experience with Airflow or other orchestration tools
• Experience working with CRM systems (Zoho CRM, Slack, or others)
• Experience with AI / LLM

Responsibilities:

• Develop and maintain automation workflows (n8n, webhooks, APIs)
• Write and optimize SQL queries
• Build and maintain data pipelines
• Integrate CRM systems
• Work with Airflow and other orchestration tools
• Debug and resolve issues in pipelines and automations
• Analyze and improve existing processes

We offer:

• Office-based work environment
• Stable workload and clear processes
• Opportunity to influence technical decisions
• Professional growth and development

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:
● gambling / 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.

Required: 
The organisation brings together a multidisciplinary team including data scientists, actuaries, statisticians, business analysts, strategy consultants, engineers, technologists, programmers, and product developers — all focused on leveraging data to drive meaningful, transformational outcomes.

Project Overview
Our client is building data- and AI-driven solutions in a cloud-first environment, with a strong focus on GCP, BigQuery, and scalable data workflows. Their teams work across data science, engineering, and solution design to create systems that can support large-scale, real-world use cases, including voice-related and unstructured data scenarios.

Requirements (Must-have):
Tech Stack
● Python
● SQL
● GCP
● BigQuery
● Data pipelines
● ETL / ELT workflows
● Data modeling
● DBT (nice to have)
● Airflow / Cloud Composer (nice to have)

What We’re Looking For:
● Strong experience with Python for data engineering;
● Strong experience with GCP and cloud-based data workflows;
● Experience building and maintaining production data pipelines;
● Strong SQL and data modeling skills;
● Ability to work with large-scale or unstructured data;
● Experience collaborating with data scientists and cross-functional engineering teams;
● Ability to build practical, reliable solutions in an evolving environment.

Responsibilities:
● Build new data pipelines and adapt existing ETL / ELT workflows
● Move and organize data in cloud storage and analytical systems such as BigQuery
● Work closely with data scientists on tables, transformations, and methodology implementation
● Connect services and data sources required for the solution
● Optimize queries and support scalable data processing
● Work with large, unstructured datasets, including voice-related data
● Help operationalize evolving architecture decisions into production-ready data flows
● Collaborate with engineering and data teams to ensure reliable execution

Nice to Have:
● Experience with DBT
● Experience with Airflow or Cloud Composer
● Experience with large, unstructured, or voice-related datasets
● Lead-level coordination experience
● Experience supporting production data workflows in rapidly evolving projects

Hiring Process:
- Intro call
- Technical discussion (focused on real experience)
- Offer
Start: ASAP

Project Description:

With more than 15 years of experience, the company blends human expertise with artificial intelligence to unlock new opportunities for individuals, organizations, and society. Its solutions turn complex data into clear insights — helping to understand past events and guide what can, could, or should be done next to transform industries and better serve people.

As a diversified leader in data science and AI, the company operates across various sectors and continues to grow at a rapid pace, creating new opportunities along the way. The team values individuals who are curious, driven, and passionate about solving complex challenges.

The organization brings together a multidisciplinary team of professionals, including data scientists, actuaries, statisticians, business analysts, strategy consultants, engineers, and product developers — all working together to leverage data for meaningful and transformative impact.

There is a strong focus on fostering a culture of growth, ownership, and continuous development. At the same time, the company emphasizes the importance of balance, offering a flexible and supportive environment where individuals feel valued and empowered.

Required Skills:

We are looking for candidates with strong hands-on experience in the following areas:

Cloud

• Google Cloud Platform (GCP)
• BigQuery
• Vertex AI
• Cloud Composer
• Cloud Functions

Programming

• Python
• SQL
• dbt

DevOps & Infrastructure

• Docker
• Kubernetes
• GitHub
• CI/CD pipelines

Additional

• Experience with AI / ML

Important:
A strong GCP background is critical for this role. Candidates without proven GCP experience are unlikely to be a strong fit.

Google Cloud Solutions Architect / Pre-Sales Engineer

Company: Softprom Solutions
Location: Remote (Ukraine)
Employment: Full-time, FOP (contractor)

About the role

Softprom Solutions is looking for a Google Cloud Solutions Architect / Pre-Sales Engineer to join our Cloud team.

This role is ideal for a specialist with hands-on experience in Google Cloud Platform and an active Google Cloud certification, who wants to work on real commercial projects, participate in pre-sales activities, and grow in cloud architecture.

Responsibilities

• Design and document Google Cloud architectures according to the Google Cloud Architecture Framework
• Participate in pre-sales activities:
  • technical discovery with customers
  • solution design
  • participation in demos and presentations
• Deployment and configuration of core GCP services, including:
  • Compute Engine, Cloud Storage, Cloud SQL
  • VPC, IAM, Load Balancing
  • Cloud Functions / Cloud Run
• Design and configure GCP networking:
  • VPC networks, subnets
  • Firewall rules
  • Routes
• Implement and support Infrastructure as Code (IaC) using Terraform
• Create technical and solution documentation
• Act as a technical point of contact for sales and customers

Requirements (Must have)

• Active Google Cloud certification
  (Associate Cloud Engineer or Professional Cloud Architect)
• Experience as Cloud Engineer / Solutions Architect / Pre-Sales Engineer
• Practical understanding of Google Cloud core services:
  • Compute, Storage, Databases, Networking, Security
• Solid networking knowledge:
  • TCP/IP (L3, L4)
  • IP addressing, subnetting
  • DNS
• Understanding of cloud principles:
  • High Availability
  • Fault Tolerance
  • Scalability
  • Security
• Linux skills (command line)

Nice to have

• Experience in pre-sales or customer-facing roles
• Experience with Terraform
• Basic scripting skills (Python, Bash)
• Experience with Docker, Kubernetes (GKE), Cloud Run
• Experience with AWS or multi-cloud environments

Soft skills

• Ability to communicate technical solutions to non-technical audiences
• Structured and analytical thinking
• Proactivity and ownership
• Ukrainian — fluent
• English — reading and basic spoken (technical / pre-sales)

We offer

• Compensation: $2000 USD + project-based bonuses
• FOP cooperation
• Full-time workload
• Real commercial Google Cloud projects
• Participation in pre-sales and architecture design
• Professional growth in Cloud & Solutions Architecture
• International projects and vendors
• Strong cloud team and mentorship

AWS Cloud Engineer

Softprom Solutions
Azerbaijan | Remote / Hybrid
Full-time | Contractor (Individual Entrepreneur)
Contract with Austria

About Softprom

Softprom Solutions is an international IT distributor and solutions provider working with leading global vendors in Cloud, Cybersecurity, Infrastructure, and Enterprise IT.

We are expanding our Cloud Practice and are looking for an AWS Cloud Engineer in Azerbaijan who wants to grow professionally, work on real customer projects, and collaborate with international teams under an Austrian contract.

About the role

This role is ideal for an AWS-certified engineer with solid fundamentals who wants to deepen hands-on experience in cloud architecture, deployments, automation, and customer-facing work.

You will work closely with senior architects, sales teams, and customers, participating in both technical delivery and pre-sales activities.

Responsibilities

• Support the design and documentation of AWS cloud architectures following the AWS Well-Architected Framework
   
• Participate in deployment and configuration of core AWS services, including
  VPC, EC2, S3, RDS, IAM, Lambda, Load Balancers
   
• Assist with AWS networking configuration:
  Subnets, Route Tables, Security Groups, NACLs
   
• Contribute to automation and Infrastructure as Code (IaC) initiatives using
  Terraform and/or AWS CloudFormation
   
• Create and maintain technical documentation for architectures and configurations
   
• Participate in customer meetings, presentations, and demos, explaining AWS solutions and capabilities
  
   

Requirements (Must have)

• Active AWS Certified Solutions Architect – Associate (SAA-C03)
   
• Solid theoretical understanding of AWS core services:
  Compute, Storage, Databases, Networking, Security
   
• Basic networking knowledge:
  TCP/IP (L3, L4), IP addressing, subnetting, DNS
   
• Understanding of cloud principles:
  High Availability, Fault Tolerance, Scalability, Security
   
• Basic Linux skills (command line)
   
• Ability to read and understand technical documentation in English
  
   

Nice to have

• Hands-on experience with Terraform or CloudFormation
   
• Basic scripting skills (Python, Bash)
   
• Familiarity with Docker, Kubernetes, ECS
   
• Personal, educational, or non-commercial projects deployed on AWS
  
   

Soft skills

• Strong motivation to learn and grow in cloud engineering
   
• Structured and analytical thinking
   
• Clear and confident communication
   
• Ukrainian or Russian — fluent
   
• English — reading technical documentation (spoken English is a plus)
  
   

We offer
 

• Individual Entrepreneur (FOP) / contractor model
   
• Official contract with Austria
   
• Full-time workload
   
• Real commercial AWS projects (not internal labs)
   
• Participation in architecture design and pre-sales activities
   
• Professional growth within Cloud & Solutions Architecture
   
• International customers and vendors
   
• Supportive, senior cloud team and mentorship

Dataforest is looking for a Senior Data Engineer to join our team and work on the Dropship project — a cutting-edge data intelligence platform for e-commerce analytics.
You will be responsible for developing and maintaining a scalable data architecture that powers large-scale data collection, processing, analysis, and integrations.

If you are passionate about data optimization, system performance, and architecture, we’re waiting for your CV!

Requirements:
• 4+ years of commercial experience with Python;
• Advanced experience with SQL DBs (optimisations, monitoring, etc.);
• PostgreSQL — must have;
• Solid understanding of ETL principles (architecture/ monitoring/ alerting/search and resolve bottlenecks);
• Experience with Message brokers: Kafka/ Redis;
• Experience with Pandas;
• Familiar with AWS infrastructure (boto3, S3 buckets, etc);
• Experience working with large volumes of data;
• Understanding the principles of medallion architecture.   

Will Be a Plus:
• Understanding noSQL DBs (Elastic);
• TimeScaleDB;
• PySpark;
• Experience with e-commerce or fintech.   
 

Key Responsibilities:

• Develop and maintain a robust and scalable data processing architecture using Python.

•  Design, optimize, and monitor data pipelines using Kafka and AWS SQS.

•  Implement and optimize ETL processes for various data sources.

•  Manage and optimize SQL and NoSQL databases (PostgreSQL, TimeScaleDB, Elasticsearch).

•  Work with AWS infrastructure to ensure reliability, scalability, and cost efficiency.

•  Proactively identify bottlenecks and suggest technical improvements.

 We offer:

•  Working in a fast-growing company;

•  Great networking opportunities with international clients, challenging tasks;

• 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 passionate about building large-scale cloud data infrastructure that makes a real difference? We are looking for a Senior Data Engineer to join our team and work on an impactful healthcare technology project. This role offers a remote work format with the flexibility to collaborate across international teams.

At Sigma Software, we deliver innovative IT solutions to global clients in multiple industries, and we take pride in projects that improve lives. Joining us means working with cutting-edge technologies, contributing to meaningful initiatives, and growing in a supportive environment.

CUSTOMER
Our client is a leading medical technology company. Its portfolio of products, services, and solutions is at the center of clinical decision-making and treatment pathways. Patient-centered innovation has always been, and will always be, at the core of the company. The client is committed to improving patient outcomes and experiences, regardless of where patients live or what they face. The Customer is innovating sustainably to provide healthcare for everyone, everywhere. 

PROJECT
The project focuses on building and maintaining large-scale cloud-based data infrastructure for healthcare applications. It involves designing efficient data pipelines, creating self-service tools, and implementing microservices to simplify complex processes. The work will directly impact how healthcare providers access, process, and analyze critical medical data, ultimately improving patient care.

Responsibilities:

• Collaborate with the Product Owner and team leads to define and design efficient pipelines and data schemas
• Build and maintain infrastructure using Terraform for cloud platforms
• Design and implement large-scale cloud data infrastructure, self-service tooling, and microservices
• Work with large datasets to optimize performance and ensure seamless data integration
• Develop and maintain squad-specific data architectures and pipelines following ETL and Data Lake principles
• Discover, analyze, and organize disparate data sources into clean, understandable schemas

Requirements:

• Possibility to meet clients annually in Europe
• Hands-on experience with cloud computing services in data and analytics
• Experience with data modeling, reporting tools, data governance, and data warehousing
• Proficiency in Python and PySpark for distributed data processing
• Experience with Azure, Snowflake, and Databricks
• Experience with Docker and Kubernetes
• Knowledge of infrastructure as code (Terraform)
• Advanced SQL skills and familiarity with big data databases such as Snowflake, Redshift, etc.
• Experience with stream processing technologies such as Kafka, Spark Structured Streaming
• At least an Upper-Intermediate level of English 

Чи захоплюєтесь ви створенням масштабної хмарної інфраструктури даних, яка має реальний вплив? Ми шукаємо Senior Data Engineer, який приєднається до нашої команди та працюватиме над важливим проєктом у сфері медичних технологій. Ця роль передбачає віддалений формат роботи з можливістю співпрацювати з міжнародними командами.

У Sigma Software ми створюємо інноваційні ІТ-рішення для глобальних клієнтів у різних галузях і пишаємося проєктами, які покращують життя людей. Приєднавшись до нас, ви працюватимете з передовими технологіями, робитимете внесок у значущі ініціативи та розвиватиметеся в підтримуючому середовищі.

Клієнт:
Наш клієнт — провідна компанія у сфері медичних технологій. Її портфель продуктів, сервісів та рішень знаходиться в центрі процесів клінічного прийняття рішень і побудови шляхів лікування. Інновації, орієнтовані на пацієнтів, завжди були і залишаються основою діяльності компанії. Клієнт прагне покращувати результати лікування та досвід пацієнтів незалежно від того, де вони живуть і з якими викликами стикаються. Компанія інноваційно розвивається, щоб забезпечити доступ до медицини для кожного, всюди.

Проєкт:
Проєкт зосереджений на створенні та підтримці масштабної хмарної інфраструктури даних для медичних застосунків. Він включає проєктування ефективних data pipelines, створення self-service інструментів та реалізацію мікросервісів для спрощення складних процесів. Робота безпосередньо впливатиме на те, як медичні установи отримують доступ до критично важливих медичних даних, обробляють їх та аналізують, що зрештою покращує якість медичної допомоги пацієнтам.

 

Обов'язки: 

• Співпрацювати з Product Owner та технічними лідами для визначення та проєктування ефективних pipelines і схем даних
• Будувати та підтримувати інфраструктуру для хмарних платформ за допомогою Terraform
• Проєктувати та впроваджувати масштабну хмарну інфраструктуру даних, self-service інструменти та мікросервіси
• Працювати з великими наборами даних для оптимізації продуктивності та забезпечення безперебійної інтеграції даних
• Розробляти та підтримувати архітектури даних і pipelines для команди відповідно до принципів ETL та Data Lake
• Виявляти, аналізувати та впорядковувати різнорідні джерела даних у зрозумілі та чисті схеми

Вимоги:

• Можливість раз на рік зустрічатися з клієнтами в Європі
• Практичний досвід роботи з хмарними сервісами для даних та аналітики
• Досвід data modeling, reporting tools, data governance та data warehousing
• Впевнене володіння Python і PySpark для розподіленої обробки даних
• Досвід роботи з Azure, Snowflake та Databricks
• Досвід роботи з Docker та Kubernetes
• Знання infrastructure as code (Terraform)
• Просунуті навички SQL та знайомство з big data базами даних, такими як Snowflake, Redshift тощо
• Досвід роботи зі stream processing технологіями, такими як Kafka, Spark Structured Streaming
• Рівень англійської не нижче Upper-Intermediate