Jobs Data Engineer

CodeGeeks Solutions is a software company led by top-notch experts with over 10 years of experience in product design & software development. We are able to comprehensively cover the needs of our clients and focus on the full cycle of development.

Now we are looking for two Data Engineers — one at Middle level and one at Senior level — to join our team and work on a cloud-native Data Lakehouse platform built on AWS!

Why us?

• We trust our team and care deeply that everyone feels comfortable and supported in their work and our positive atmosphere
• This work will be fulfilling! You’ll develop and acquire new skills, and we’ll support you every step of the way
• Here you will find like-minded people and true friends
• Here, you’ll even look forward to Mondays!
• We’re a young and successful team! :)

We Offer

• 15 days of annual time off paid + company-wide New Year holiday in the last week of the year (5 days);
• 20 days of sick leave paid (5 — 100%, 15 — 50%);
• Legal support;
• IT Cluster membership;
• Flexible work schedule and remote work options;
• Chance to make a real impact and shape the future of our company;
• Education compensation;
• Clear career map, continued professional development and growth opportunities;
• Opportunity to work with a talented and dynamic team of experts;
• Internal training and meetups;
• Access to corporate learning materials;
• High-level compensation and regular performance-based salary and career development reviews;
• PE accounting and support;
• Work in a comfortable, modern and cozy office in Lviv;
• Team buildings & corporate events;
• Referral program.

About the Project

You will be part of a team building and scaling a modern data platform that serves BI needs across Finance, Sales, Marketing, Product, and Operations — and lays the groundwork for future AI/ML initiatives. The stack is current, the problems are real, and the business impact is visible from day one.

What You Will Do

• Design and build ELT pipelines from diverse sources: SaaS products, internal systems, and third-party integrations (Twilio, Mixpanel, Salesforce, Google Analytics, SharePoint/Excel)
• Implement and maintain medallion architecture (raw → refined → consumption) using Apache Iceberg
• Work with Airflow and/or Airbyte for pipeline orchestration, scheduling, and operational monitoring
• Support near-real-time and lower-latency data processing where required
• Build data quality checks, automated assertions, lineage documentation, and dataset certification routines
• Apply least-privilege access patterns, dataset classification, auditability controls, and data minimization practices
• Collaborate closely with BI/Data Analysts to ensure schemas support dashboard and reporting needs

• Write runbooks and handover documentation to keep the platform maintainable long-term

   

What We Are Looking For

Middle (2–3 years of experience)

• Solid hands-on SQL, data modeling, and performance optimization skills for analytics consumption layers
• Practical experience building ELT/ETL pipelines
• Experience with AWS services: S3, Glue, Athena
• Experience with Airflow and/or Airbyte
• Experience with Apache Spark / PySpark
• Familiarity with integrating third-party SaaS sources (Twilio, Mixpanel, Salesforce, Google Analytics, SharePoint/Excel or similar)

• Self-driven, pragmatic, well-documented working style; comfortable with ambiguity

   

Senior (4-5+ years of experience) — all of the above, plus:

• Proven experience designing Data Lake / Lakehouse architecture independently
• Ability to define and own a technical backlog and make architectural decisions with limited oversight
• Experience implementing data governance, lineage tracking, and security controls in regulated environments
• Comfortable working with GDPR, HIPAA, ePHI, and similar compliance frameworks

Nice to Have (both levels)

• Apache Iceberg or Delta Lake
• dbt
• Metabase or similar BI tooling

Recruitment Process

1. HR Screening call
2. Technical Interview with CTO
3. Final Interview with the client

If you want to develop professionally in a team of like-minded people and make this world better — we are waiting for your resume!

We are looking for a Mid/Senior Data Engineer to join our platform-focused team, working on the development and evolution of our CRM and data platform landscape.

The team operates as a platform and enablement unit, supporting different business areas and initiatives. A key focus area is the transition from a legacy CRM system to a new Salesforce-based solution, alongside ongoing work in building and extending data products and platform capabilities.

The setup currently consists of two Scrum teams, with Data Engineers shared across initiatives. The role is hands-on and involves working on data product creation, platform setup, and continuous improvements, with a growing focus on scaling and structuring the platform landscape

Required Skills:

· Strong experience in data engineering within enterprise environments

· Strong hands-on experience with Terraform, Docker, Python, SQL, AWS tools, Kubernetes, and Kafka

· Hands-on experience with modern data platform concepts such as Data Mesh (cloud object storage, open table formats, distributed processing)

· Solid Python skills for ETL development, data processing, and automation

· Experience designing, implementing, and maintaining reliable data pipelines

· Strong analytical, problem-solving, and system-level thinking skills

· Understanding of cloud technology lifecycle

· Fluent English in spoken and written communication

Preferred Experience (Nice-to-Have)

• Legacy data warehouse experience with Oracle or Sybase.

We are seeking a highly skilled AI/ML Engineer to design, build, and scale production-grade AI systems. The ideal candidate combines expertise in AI/ML, backend engineering, cloud infrastructure, and MLOps to deliver end-to-end AI solutions powered by LLMs, RAG architectures, and intelligent agents.

You will play a key role in developing scalable AI products, optimising inference performance, building AI platforms, and integrating cutting-edge AI capabilities into business applications.

Key Responsibilities

• Design and develop scalable AI/ML solutions for production environments.
• Build and deploy LLM-powered applications using OpenAI, Claude, Gemini, and Hugging Face ecosystems.
• Develop Retrieval-Augmented Generation (RAG) systems and agentic workflows.
• Create and maintain AI APIs and backend services using Python and FastAPI.
• Design data pipelines, vector search architectures, and AI orchestration workflows.
• Implement MLOps practices, including model deployment, monitoring, retraining, and observability.
• Optimise AI systems for latency, scalability, reliability, and cost efficiency.
• Collaborate with product, engineering, and data teams to deliver AI-driven features.
• Work with cloud-native infrastructure and containerised environments.
• Mentor junior engineers and contribute to architectural decisions.

Required Qualifications

• 5+ years of software engineering or machine learning experience.
• Strong proficiency in Python.
• Hands-on experience building and deploying production AI systems.
• Deep understanding of machine learning fundamentals, deep learning, NLP, and transformers.
• Experience with LLM technologies and frameworks:
  • OpenAI API
  • Claude API
  • Gemini
  • Hugging Face
  • LangChain
  • LangGraph
  • LlamaIndex
• Strong knowledge of:
  • RAG architectures
  • Vector databases
  • Embeddings
  • Agentic workflows
  • Prompt engineering
• Experience building REST APIs and backend services.
• Proficiency with Docker and cloud platforms (AWS, Azure, or GCP).
• Experience with SQL databases and data processing frameworks.

Preferred Qualifications

• Kubernetes and container orchestration experience.
• Infrastructure as Code using Terraform or similar tools.
• MLOps platforms such as MLflow, Kubeflow, or Airflow.
• Experience with Spark and large-scale data processing.
• Knowledge of Redis, Kafka, RabbitMQ, or real-time systems.
• Experience with AI observability, monitoring, and model lifecycle management.
• Exposure to enterprise AI integrations and AI governance.

Technical Stack

Languages

• Python
• SQL

Backend

• FastAPI
• Flask
• REST APIs
• GraphQL

AI/ML

• OpenAI
• Claude
• Gemini
• Hugging Face
• LangChain
• LangGraph
• LlamaIndex
• RAG
• AI Agents

Data

• PostgreSQL
• MySQL
• Pinecone
• Weaviate
• Qdrant
• ChromaDB

Cloud & DevOps

• AWS / Azure / GCP
• Docker
• Kubernetes
• Terraform
• GitHub Actions / GitLab CI

On behalf of our client, we are looking for a Senior Data Engineer (Scala)

Requirements:

- Strong experience with Scala in production environments

- Proven experience as a Senior Data Engineer or Backend Engineer in data-heavy systems

- Strong understanding of distributed systems and parallel processing

- Experience with big data technologies (Spark, Kafka, etc.)

- Strong knowledge of JVM ecosystem and performance tuning

- Experience building high-load, scalable systems

- Strong system design and architectural thinking

- Ability to work independently and take ownership

- Strong problem-solving skills in complex, distributed environments

- English level: B2+

- Availability to work in EU timezone

Company offers:

- Long-term employment with possibilities for professional growth

- Fully remote work

- Reasonably flexible schedule

- 15 days of paid vacation

- Regular performance reviews

We are seeking a Palantir Foundry & AIP Engineer with hands-on experience across the full Foundry ecosystem and Palantir’s Artificial Intelligence Platform (AIP). This role goes beyond data engineering: you will design, build, and operationalize AI-powered workflows, agents, and applications that drive tangible business outcomes. The ideal candidate is a self-starter, able to translate complex business needs into scalable technical solutions, and confident working directly with stakeholders to maximize the value of Foundry and AIP.

• Responsibilities:

  · Data & Workflow Engineering: Design, develop, and maintain scalable pipelines, transformations, and applications within Palantir Foundry.
  · AIP & AI Enablement:
  o Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents.
  o Ground agents and logic flows using RAG (retrieval‐augmented generation) by connecting to relevant data sources, embedding/vector search, ontology content.
  o Use Ontology-Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology.
  o Collaborate with senior engineers on agent design, instructions, and evaluation using AIP’s native features.
  · End-to-End Delivery: Work with stakeholders to capture requirements, design solutions, and deliver working applications.
  · User Engagement: Provide training and support for business teams adopting Foundry and AIP.
  · Governance & Trust: Ensure solutions meet standards for data quality, governance, and responsible use of AI.
  · Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation.

• Mandatory Skills Description:

  Minimum 10 Years of experience in IT/Data.
  Minimum 5 years of experience as a Data Platform Engineer/Data Engineer.
  · 2+ years of professional experience with the Palantir Foundry ecosystem (data integration, ontology, pipelines, applications).
  · Strong technical skills in Python, PySpark, SQL, and data modelling.
  · Practical experience using or supporting AIP features such as RAG workflows, copilots, or agent-based applications.
  · Ability to work independently and engage directly with non-technical business users.
  · Strong problem-solving mindset and ownership of delivery.

• Nice-to-Have Skills Description:

  · Familiarity with AIP Agent Studio concepts (agents, instructions, tools, testing).
  · Exposure to AIP Evals and evaluation/test-driven approaches.
  · Experience with integration patterns (APIs, MCP, cloud services).
  · Consulting or applied AI/ML background.
  · Experience in Abu Dhabi or the broader MENA region.

We are building a real estate intelligence platform focused on New York City property data, property owners, CRM history, contacts, public records, lead scoring, and opportunity detection.

This is not a simple Excel cleanup job. We need a serious Python Data Engineer / ETL Developer who can help us turn large real estate datasets into a clean, structured database that will power our internal software platform.

What We Are Building

We are building a platform that combines real estate data, CRM history, owner information, contact data, public records, lead scoring, opportunity queues, and future AI automation.

The system will organize:

• Property profiles
• Owner and company profiles
• Phone and email contact points
• CRM notes and follow-up history
• Public record data
• Source trace
• Relationship mapping
• Lead scoring
• Opportunity queues

• Future AI and automation features

   

Responsibilities

• Work with large CSV and Excel files
• Clean and normalize real estate data
• Build Python ETL pipelines
• Import structured data into PostgreSQL
• Create relationships between properties, owners, companies, contacts, and CRM activity
• Build deduplication and merge logic
• Build source trace logic
• Build data quality reports
• Help prepare data for dashboards, APIs, and future public records integrations
• Work closely with the technical lead and product team

• Help create a clean data foundation for the platform

   

Required Skills

• Python
• Pandas
• PostgreSQL
• CSV / Excel processing
• ETL pipelines
• Data cleaning and normalization
• REST API experience
• Ability to work with large datasets
• Strong attention to detail
• Ability to structure messy data into a reliable database

• Clear communication and ability to work independently

   

Bonus Skills

• Real estate data experience
• NYC property data experience
• NYC Open Data / Socrata API
• ACRIS
• DOB permits / violations
• PLUTO / MapPLUTO
• Address normalization
• Entity resolution and deduplication
• Data quality reporting
• CRM data experience

• Lead generation data experience

   

Ideal Candidate

You are detail-oriented, reliable, and able to think carefully through messy data. You do not just write scripts. You understand that clean data needs to support a real business system, including dashboards, CRM workflows, lead scoring, and future AI automation.

How to Apply

Please send:

1. Your experience with Python and data engineering
2. Examples of similar data projects
3. Your PostgreSQL experience
4. Your experience with CSV, Excel, ETL, and data cleaning
5. Your experience with real estate data or public data, if any
6. Your experience with APIs, especially public data APIs
7. Your hourly rate or monthly salary expectation
8. Your availability and preferred working hours
9. Your location and time zone

10. A short explanation of how you would approach this project

     

We are looking for a long-term team member, not a one-time freelancer.

Project description

We are looking for a Senior AWS DevOps / Cloud Infrastructure Engineer to support AWS infrastructure automation, customer environment deployment, and GitOps-based delivery.

Responsibilities

Design and implement reusable Terraform modules for AWS infrastructure.

Deploy and configure AWS services: VPC, IAM, EKS, RDS, Secrets Manager, FSx, Redis/ElastiCache, Kafka/MSK, EMR, AppStream.

Configure CI/CD pipelines using GitLab CI/CD or Azure DevOps.

Support GitOps deployment with FluxCD or Argo CD.

Deploy Kubernetes platform components such as external-secrets, controllers, Istio, monitoring, and runners.

Adapt deployment to customer AWS environments with existing VPCs, restricted IAM, network limits, or custom artifact repositories.

Troubleshoot infrastructure, networking, access, and deployment issues.

Prepare technical documentation, deployment instructions, and runbooks.

Skills

Must have

Strong hands-on experience with AWS.

Strong experience with Terraform and infrastructure-as-code.

Good knowledge of AWS networking: VPC, subnets, routing, security groups, NAT, private endpoints.

Experience with IAM roles and policies.

Experience with EKS and Kubernetes infrastructure.

Experience with GitLab CI/CD or Azure DevOps Pipelines.

Experience with AWS services such as RDS, Secrets Manager, S3, FSx, Redis/ElastiCache, Kafka/MSK.

Ability to troubleshoot complex cloud deployments.

Good communication and documentation skills.

Nice to have

FluxCD or Argo CD.

Terragrunt.

AppStream image preparation.

AWX or Ansible.

Istio or service mesh.

k3s.

EMR.

Monitoring stack setup.

Experience with restricted enterprise/customer AWS environments.

Experience importing existing AWS resources into Terraform.

Про продукт

Ми будуємо high-load platform для real-time обробки великих потоків даних з аналітичною надбудовою. Система працює з таблицями на 5+ мільярдів записів, обробляє дані в реальному часі і має складну подієво-орієнтовану архітектуру.

Що робитимеш

• Розвиваєш фічі у своїх доменах — від моделі і CQRS-handler-ів до контролерів
• Пишеш і оптимізуєш SQL-запити на великих таблицях (PostgreSQL, партиціонування, EXPLAIN)
• Працюєш з OpenSearch: запити, агрегації, розуміння ETL-пайплайну
• Інтегруєш і підтримуєш обмін повідомленнями з Python-сервісами через RabbitMQ
• Береш участь у code review, покриваєш код unit-тестами
• Документуєш архітектурні рішення, аналізуєш production issues

Шукаємо

• 4+ роки комерційного досвіду на Node.js / TypeScript
• NestJS (або Express/Fastify з розумінням DI та модульності — готовий швидко зануритись у Nest)
• DDD / CQRS — розуміння принципів і бажання працювати в цій парадигмі
• PostgreSQL — складні запити, JOIN-и, індекси, базове розуміння EXPLAIN
• Брокер повідомлень (RabbitMQ / Kafka / SQS) — async-обробка, retry, idempotency
• OpenSearch / Elasticsearch — базовий досвід або готовність швидко вивчити
• Git flow і робота через MR/PR

Буде плюсом

• Production-досвід з партиціонованими таблицями / оптимізація SQL на великих обсягах
• AWS або інший хмарний провайдер (EKS, ECS, Kinesis, Lambda)
• Python для скриптів
• Sentry / Grafana / OpenTelemetry для дебагу production issues
• Досвід з event-driven архітектурами і eventual consistency

Технологічний стек

Backend: TypeScript 5, Node.js, NestJS 10

Архітектура: DDD + CQRS, Event-driven, Eventual consistency

Бази даних: PostgreSQL (5 млрд записів/таблицю), Redis

Пошук: OpenSearch

Черги: RabbitMQ, Kinesis Streams

AWS: VPC, EKS, ECS, S3, Kinesis, Lambda

Observability: Sentry, Grafana, OpenTelemetry

CI/CD: GitLab

Скрипти: Python

Welcome to LITSLINK — a top software development company.

We are looking for a Middle AI/ML Engineer to join our growing AI practice.

You will work on client and internal projects focused on Generative AI, LLM-powered applications, AI Agents, RAG systems, Computer Vision, NLP, and intelligent automation solutions.

Please note: we are primarily looking for engineers with hands-on experience building GenAI solutions. Experience with LLMs, RAG systems, AI Agents, and AI-powered automations is highly preferred.

Tech Stack: Python, OpenAI, Anthropic, Gemini, Hugging Face, LangChain, LangGraph, LlamaIndex, RAG, AI Agents, Vector Databases, AWS/GCP/Azure

Key Responsibilities:

• Design, develop, and optimize AI-powered applications and services.
• Build solutions based on LLMs, RAG pipelines, AI Agents, and Generative AI technologies.
• Integrate AI systems with APIs, databases, and business platforms.
• Evaluate, optimize, and improve AI solutions.
• Collaborate with software engineers, product teams, and stakeholders.
• Conduct technical research and evaluate emerging AI technologies.
• Contribute to architecture decisions, code reviews, and engineering best practices.

Requirements:

• 2+ years of commercial experience in AI/ML engineering, AI Engineering, Data Science, or related roles.
• Experience building GenAI solutions is highly preferred.
• Practical experience with Generative AI and LLM-based applications.
• Hands-on experience building RAG systems, AI Agents, AI Assistants, or AI-powered automations.
• Strong Python programming skills.
• Solid understanding of Machine Learning fundamentals.
• Experience with PyTorch, TensorFlow, or the Hugging Face ecosystem.
• Experience working with OpenAI, Anthropic, Gemini, Hugging Face, or similar AI platforms.
• Experience with prompt engineering, LLM evaluation, and optimization techniques.
• Understanding of REST APIs and software development best practices.
• Strong analytical and problem-solving skills.
• Intermediate+ English level.

Nice to Have:

• Experience with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
• Experience with vector databases (Pinecone, Weaviate, Qdrant, Chroma, etc.).
• Experience with AWS, GCP, or Azure.
• Experience deploying AI solutions to production environments.
• Knowledge of MLOps practices and model lifecycle management.
• Experience with Computer Vision or NLP projects.
• Experience mentoring junior engineers.

What We Offer:

• Opportunity to work on cutting-edge AI projects.
• Access to modern AI tools and technologies.
• Collaborative and innovative engineering culture.
• Professional development and career growth opportunities.
• Remote-first environment.
• Competitive compensation package.

Recruitment Process:

• HR Interview
• Technical Interview
• Offer

Centralized Reporting and Analytics team covers company-wide corporate reporting needs. Interacting with internal clients (Delivery management and Corporate functions management) we build automated solutions in reporting and data analysis covering different internal company processes and practices.
Our team: around 20 people distributed in different countries but in close virtual cooperation.
Technologies used: Tableau and PowerBI as the main reporting tools, MS SQL database for our main data sources.

• Responsibilities:

  Tableau/PBI reports development and support:
  - Requirement clarification with the client
  - Preparation of data sources & setting up development task for the DWH team where needed
  - Draft version design & development and UAT with a customer
  - Setting up interactive elements in dashboards (actions, parameters-switchers, etc.)
  - Visibility permissions management (row-level security) inside a report
  - Technical documentation preparation
  - Release preparation and presenting for end-users
  - Controlling permissions on a site - project - workbook levels
  - Background tasks monitoring (extracts, subscriptions, etc.)
  - Reporting adoption & user's behavior monitoring (via in-built and custom tools)

• Mandatory Skills Description:

  2+ year of reporting experience with Tableau and/or PowerBI
  Strong skills in SQL
  Bachelor's Degree or higher education level
  Strong data analysis skills
  Good presentation and data visualization skills
  Great attention to details, structured and analytical approach, critical and logical thinking

Project Description

Founded in 2007, Rubicon Project’s pioneering technology created a new model for the advertising industry. Today, our automated advertising platform is used by the world’s leading publishers and applications to transact with top brands around the globe enabling them to reach more than 1 billion consumers.

Job Description

• Experience building and operating large-scale, high-throughput, enterprise apps
• 2+ years working experience in server-side Scala
• Working experience with data processing systems (Hadoop, Hive, Kafka, Spark)
• A strong understanding of algorithms, data structures, and an ability to recognize the business and technical trade-offs between different
  solutions
• Expertise in threading and concurrency
• Experience with automated testing frameworks (TDD, Mocking, Unit/Functional/Integration)
• Experience with SQL queries (MySQL is a plus)
• Experience with development and CI tools (maven, git, Jenkins, Puppet, Crucible, Jira, Airflow python is a plus)
• Experience working in a Linux environment.
• Expertise building software in an agile development environment
• Demonstrated strong English language verbal and written communication skills
• Shifted working hours 12pm till 8pm EEST timezone

Job Responsibilities

• Write production-ready code and unit tests that meet both system and business requirements.
• Respond to feature requests, bug reports, performance issues, and ad-hoc questions.
• Work collaboratively with multiple teams to deliver quality software.
• Comfortable in multi-tasking and fast-pacing dev process.
• Support operation of services in production.

What We're Looking For

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

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

What You'll Do

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

Requirements

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

Nice to Have:

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

Join a Company That Invests in You

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

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

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.

We are looking for a Senior GIS Engineer to lead the integration of Esri map technology. The goal is to extend beyond surface satellite imagery and surface subsurface geological data to support exploration, planning, and operational decisions. You will also help us design a cost-predictable architecture for running Esri workloads in the cloud. 

Key Responsibilities:

• Integrate Esri (ArcGIS Enterprise, ArcGIS Online, ArcGIS Pro) with proprietary mining software.
• Build pipelines that combine drone captured imagery with deep-ground geological and geophysical data (boreholes, seismic, drone, LiDAR).
• Design Azure cloud architecture for Esri workloads.
• Develop cost monitoring, forecasting, and optimization mechanisms for ArcGIS cloud usage (credits, compute, storage, tile / feature services).
• Collaborate with geologists, data engineers, and product teams to translate domain requirements into GIS solutions.

Required Skills:

• 7/8+ years of hands-on GIS engineering experience, including the Esri ArcGIS stack (Pro, Enterprise, Online, REST APIs).
• Strong Python (ArcPy) and SQL.
• Experience with spatial databases (Databricks, Apache Sedona, PostGIS,).
• Experience deploying Esri / GIS workloads to Azure platform, including IaC and cost management (FinOps practices).
• Working knowledge of 3D geological / subsurface data formats and visualization (voxel models, boreholes, point clouds).
• Solid understanding of coordinate systems, projections, and geodesy.
• Fluent/Upper-Intermediate English skills.

Nice to Have:

• Domain experience in mining, oil & gas, or geosciences.
• Experience with Leapfrog, Petrel, Surpac, or similar geological modeling tools.
• Familiarity with Kubernetes, Docker, and CI/CD for GIS services.
• Open-source GIS exposure (QGIS, GDAL, GeoServer) as a complement to Esri.

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

Expected responsibilities:

• Designing and building scalable data pipelines (batch + streaming)
• Developing data infrastructure to support analytics and ML workflows
• Building secure, scalable APIs for data and model access
• Implementing event-driven architectures (Kafka) and orchestration (Airflow)
• Supporting Data Science and ML teams with platform capabilities
• Ensuring data observability, governance, and system reliability

We are looking for strong, recent hands-on experience (last 2–3 years) with:
Core stack:

• Kafka (streaming)
• Airflow (orchestration)
• SQL + NoSQL databases
• Cloud platforms (AWS preferred)
• API development

Infrastructure:

• Docker / Kubernetes
• Infrastructure as Code (Terraform / CloudFormation)
• CI/CD pipelines
• Monitoring & observability

Bonus:

• Experience supporting ML pipelines
• Exposure to tools like SageMaker or OpenAI

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.

As a global leader in IT services, PwC is supported by PwC Poland’s Data, Digital Solutions & AI team. We provide first-class services in all areas of Data Platforms, Data Analytics, Data Strategy and Data Management, just to name a few of our core capabilities. We support clients in the transition to and their adoption of modern data infrastructure, creation of new business models and streamlining their operational activities. 

Your future role:

• Building data platforms with critical components including data lakehouses, data warehouses and data lakes using tools like MS Fabric, Azure Databricks and Azure Data Factory for extraction, loading and transformation;
• Defining the flow of data through data platform from raw ingestion to business-ready consumption using most suitable data architecture patterns (e.g. medallion, lambda);
  Designing the migration plans for moving transactional and master data from legacy systems of record to systems of reference (new solutions);
• Conducting comprehensive data assessments alongside Data Modelers and Analysts across multiple systems of record and data domains to identify and remediate data quality issues;
• Liaising with client senior stakeholders and supporting Senior Data Architects to gather functional requirements to design modern data architecture;
• Supporting  Data Governance subject matter experts to define data standards and policies and specifically around Master Data Management and Data Quality;
• Some familiarizations with Data Science and Data Analytics use cases within the context of Consumer Goods, Retail, Manufacturing and/or Financial Service sectors will stand out.

Apply if you have:

• Minimum of 3 years in data engineering roles, although this can be considered alongside other relevant experience e.g., Business Intelligence, Data Science etc.;
• Hands‑on experience with data transformation platforms, with a strong preference for Azure‑based solutions such as Microsoft Fabric and Databricks; experience with other platforms (e.g. Snowflake, Azure Synapse, Google BigQuery) is also valued;
• Experience in building data warehouses, data lakes and data lakehouses using tools like Azure Data Factory and Azure Synapse Analytics;
• Familiarity with writing data transformation scripts using Python i.e. PySpark and SQL to query databases;
• Some experience in Data Engineering CI/CD practices and release management across Dev, QA and Production environments using tools like Azure DevOps, and/or Jira;
• Proficiency in Business English at B2 level or above, with confidence to write technical documentation e.g., designing documents with support from Project Manager;

• Experience with new technologies and AI‑based tools demonstrated in your daily work (e.g., task automation, information analysis, content creation).

   

Nice to have:

• Cloud certifications in Azure, AWS, or Google Cloud;
• Data Governance certifications e.g., DAMA;
• Evidence of training using online platforms e.g. Coursera, Udemy, Datacamp etc.;
• Application of data modelling frameworks including Kimball dimensional modelling to design and build logical and physical data models;
• Interest and some experience of experimenting with the application of Agentic AI to automate the extraction, transformation and loading of data using services like Azure Foundry;
• Proven experience in conducting data assessments across multiple data domains, including Product, and Customer and systems of record e.g. ERPs and CRMs;
• Experience of working on Data Strategy and Governance projects with a focus on improving Data Quality across key business functions;
• Familiarity with agile project management methodologies like Scrum to enable and scale minimal viable products;
• Some exposure to Data Science and Data Analytics use cases, particularly in the applications of Machine Learning and Generative AI techniques to help improve business forecasting, and demand planning;
• Experience in supporting senior stakeholders including Chief Data Officers in medium to large sized businesses across sectors such as Manufacturing, Consumer Goods, and/or Financial Services.
  
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