HRAVITY

COMPANY 
Atlas Technica — the US-based MSP providing services in the hedge fund vertical. Founded in New York in 2016, and rapidly growing (twice a year) all along the way. These days comprises 200+ engineers and 10+ established offices in US, UK, Ukraine, Hong Kong, Singapore. 

Location/Type: Remote (Ukraine only)

Hours: UA timezone, flexible

We are seeking an experienced Data Engineer to lead the design, implementation, and ongoing maintenance of scalable data pipelines and cloud-native solutions. You will work extensively with Python, Azure cloud services, and SQL-based data models, with a strong focus on automation, reliability, and data security, and collaborate closely with cross-functional teams to turn data into actionable insights.

Responsibilities: 

• Build and maintain efficient ETL workflows using Python 3, applying both object-oriented and functional paradigms.
• Write comprehensive unit, integration, and end-to-end tests; troubleshoot complex Python traces.
• Automate deployment and integration processes.
• Develop Azure Functions, configure and deploy Storage Accounts and SQL Databases.
• Design relational schemas, optimize queries, and manage advanced MSSQL features including temporal tables, external tables, and row-level security.
• Author and maintain stored procedures, views, and functions.
• Collaborating with cross-functional teams
   

Requirements: 

• English level – B2 or higher
• 5+ years of proven experience as a Data engineer
• Programming
  • Proficient in Python 3, with both object-oriented and functional paradigms
  • Design and implement ETL workflows using sensible code patterns
  • Discover, navigate and understand third-party library source code
  • Author unit, integration and end-to-end tests for new or existing ETL (pytest, fixtures, mocks, monkey patching)
  • Ability to troubleshoot esoteric python traces encountered in the terminal, logs, or debugger
• Tooling & Automation
  • Git for version control and branching strategies
  • Unix-like shells (Nix-based OS) in cloud environments
  • Author CI/CD configs and scripts (JSON, YAML, Bash, PowerShell)
• Cloud & Serverless Patterns
  • Develop Azure Functions (HTTP, Blob, Queue triggers) using azure-functions SDK
  • Implement concurrency and resilience (thread pools, tenacity, rate limiters)
• Azure SDKs & Services
  • Deploy and configure:
  • Functions, Web Apps & App Service Plans
  • Storage Accounts, Communication Services
  • SQL Database / Managed Instance
• Database Administration
  • Relational data modeling & schema design
  • Data partitioning strategies & temporal tables (system-versioned)
  • Query performance tuning (indexes, execution plans)
  • Selection of optimal data types
  • Complex T-SQL (windowing, CTEs, advanced joins)
  • Advanced MSSQL features (External Tables, Row-Level Security)
• SQL Objects & Schema Management
  • Author and maintain tables, views, Stored Procedures, Functions, and external tables (polybase)
  • Strong analytical and problem-solving skills, with meticulous attention to detail
  • Strong technical documentation skills

WE OFFER:

• Direct long-term contract with a US-based company
• Full-time remote role aligned with EST
• B2B set-up via SP (FOP in $USD)
• Competitive compensation
• Annual salary reviews and performance-based bonuses
• Company equipment provided for work
• Professional, collaborative environment with the ability to influence strategic decisions
• Opportunities for growth within a scaling global organization

COMPANY 
Atlas Technica — the US-based MSP providing services in the hedge fund vertical. Founded in New York in 2016, and rapidly growing (twice a year) all along the way. These days comprises 200+ engineers and 10+ established offices in US, UK, Ukraine, Hong Kong, Singapore. 

Location/Type: Remote (Ukraine only)

Hours: UA timezone, flexible

We are seeking an experienced Data Engineer to lead the design, implementation, and ongoing maintenance of scalable data pipelines and cloud-native solutions. You will work extensively with Python, Azure cloud services, and SQL-based data models, with a strong focus on automation, reliability, and data security, and collaborate closely with cross-functional teams to turn data into actionable insights.

Responsibilities: 

• Build and maintain efficient ETL workflows using Python 3, applying both object-oriented and functional paradigms.
• Write comprehensive unit, integration, and end-to-end tests; troubleshoot complex Python traces.
• Automate deployment and integration processes.
• Develop Azure Functions, configure and deploy Storage Accounts and SQL Databases.
• Design relational schemas, optimize queries, and manage advanced MSSQL features including temporal tables, external tables, and row-level security.
• Author and maintain stored procedures, views, and functions.
• Collaborating with cross-functional teams
   

Requirements: 

• English level – B2 or higher
• 5+ years of proven experience as a Data engineer
• Programming
  • Proficient in Python 3, with both object-oriented and functional paradigms
  • Design and implement ETL workflows using sensible code patterns
  • Discover, navigate and understand third-party library source code
  • Author unit, integration and end-to-end tests for new or existing ETL (pytest, fixtures, mocks, monkey patching)
  • Ability to troubleshoot esoteric python traces encountered in the terminal, logs, or debugger
• Tooling & Automation
  • Git for version control and branching strategies
  • Unix-like shells (Nix-based OS) in cloud environments
  • Author CI/CD configs and scripts (JSON, YAML, Bash, PowerShell)
• Cloud & Serverless Patterns
  • Develop Azure Functions (HTTP, Blob, Queue triggers) using azure-functions SDK
  • Implement concurrency and resilience (thread pools, tenacity, rate limiters)
• Azure SDKs & Services
  • Deploy and configure:
  • Functions, Web Apps & App Service Plans
  • Storage Accounts, Communication Services
  • SQL Database / Managed Instance
• Data Security and Reliability
  • Maintain strict secrets, access discipline
  • Implement data quality checks and validation steps
• Database Administration
  • Relational data modeling & schema design
  • Data partitioning strategies & temporal tables (system-versioned)
  • Query performance tuning (indexes, execution plans)
  • Selection of optimal data types
  • Complex T-SQL (windowing, CTEs, advanced joins)
  • Advanced MSSQL features (External Tables, Row-Level Security)
• SQL Objects & Schema Management
  • Author and maintain tables, views, Stored Procedures, Functions, and external tables (polybase)
  • Strong analytical and problem-solving skills, with meticulous attention to detail
  • Strong technical documentation skills

WE OFFER:

• Direct long-term contract with a US-based company
• Full-time remote role aligned with EST
• B2B set-up via SP (FOP in $USD)
• Competitive compensation
• Annual salary reviews and performance-based bonuses
• Company equipment provided for work
• Professional, collaborative environment with the ability to influence strategic decisions
• Opportunities for growth within a scaling global organization

A US-based MSP is looking for an experienced Data Engineer to design, implement, and maintain scalable data pipelines and cloud-native solutions. This role requires deep expertise in Python programming, cloud services, and SQL-based data modeling, with a strong emphasis on automation, reliability, and security.

COMPANY 
Atlas Technica — the US-based IT service provider for the hedge fund vertical. Founded and headquartered in New York in 2016, and rapidly growing all along the way. These days comprises 300+ engineers and 10+ established locations in the US, UK, Ukraine, Hong Kong, and Singapore. 

Location/Type: Remote (Ukraine only)
Hours: UA timezone, flexible

RESPONSIBILITIES: 

• Build and maintain efficient ETL workflows using Python 3, applying both object-oriented and functional paradigms.
• Write comprehensive unit, integration, and end-to-end tests; troubleshoot complex Python traces.
• Automate deployment and integration processes.
• Develop Azure Functions, configure and deploy Storage Accounts and SQL Databases.
• Design relational schemas, optimize queries, and manage advanced MSSQL features including temporal tables, external tables, and row-level security.
• Author and maintain stored procedures, views, and functions.
• Collaborating with cross-functional teams
   

REQUIREMENTS: 

• 5+ years as a Data Engineer 
• Strong Python (OOP + functional, production code, ETL workflows) 
• Testing (pytest, unit/integration tests) 
• ETL orchestration (Airflow, Dagster, or Prefect) 
• Advanced SQL (optimization, schema design, complex queries) 
• Cloud experience + serverless patterns (Azure Functions, Lambda, or Cloud Functions)

• Git, CI/CD

  
  NICE TO HAVEs: 

  • Microsoft SQL Server / T-SQL experience (temporal tables, row-level security, external tables)
  • Azure-specific SDKs and services (Azure Functions SDK, Key Vault, ARM templates)
  • Microsoft certifications

WE OFFER:

• Direct long-term contract with a US-based company
• Full-time remote role aligned with EST
• B2B set-up via SP (FOP in $USD)
• Competitive compensation
• Annual salary reviews and performance-based bonuses
• Company equipment provided for work
• Professional, collaborative environment with the ability to influence strategic decisions
• Opportunities for growth within a scaling global organization

COMPANY
Atlas Technica is a fast-growing US-based tech company, founded in New York in 2016 and focused on providing IT services to the hedge fund sector. The company has scaled rapidly and now has 200+ engineers across 10+ locations globally (US, UK, Ukraine, Hong Kong, Singapore).

We are seeking an experienced Financial Controller to lead the company’s accounting operations, financial reporting, and internal control framework. This is a managerial role, and you will oversee a team of three, guiding them to deliver accurate financial reporting, maintain strong internal controls, and ensure adherence to GAAP and company policies. You will work directly with the Director of Finance and play a key part in supporting decision-making and profitability across a multi-entity, service-oriented business.

Location/Type: Remote (Ukraine only)
Hours: aligned with EST (NY business hours)
Reports to: Director of Finance

Key Responsibilities

Financial Close & Reporting

• Lead the monthly, quarterly, and annual close process.
• Review journal entries, reconciliations, consolidations, and financial statements in accordance with US GAAP.
• Own P&L, balance sheet, cash flow, variance analysis, and management reporting.

Accounting Operations

• Oversee AP/AR, billing accuracy, vendor management, and collections.
• Improve DSO, working capital, and operational cash management.
• Manage treasury, liquidity, cash forecasting, and bank relationships.

Internal Controls & Compliance

• Develop and maintain internal controls, accounting policies, and SOPs.
• Ensure audit readiness; coordinate external audits and reviews.
• Oversee tax compliance (sales/use, payroll, property, income tax) with external advisors.

Payroll, Revenue, and Asset Accounting

• Oversee payroll-related accounting, benefit reconciliations, and classifications.
• Lead revenue recognition compliance (e.g., ASC 606), including contract review, performance obligation assessment, and variable consideration methodology where applicable.
• Manage fixed assets and capitalization policies, lease accounting, and depreciation schedules.

Systems, Processes & Automation

• Optimize close, AP/AR, billing, and expense workflows; drive automation.
• Collaborate with IT/Finance on ERP configuration and system integrations.

Strategic Finance Support

• Provide budget vs actual analysis and support FP&A with planning and forecasting.
• Advise leadership on accounting impacts of operational and strategic decisions.
• Support M&A diligence and integration efforts, purchase accounting, and policy alignment.

Team Leadership

• Lead and mentor the accounting team; ensure high-quality execution and clear priorities.

Requirements

• Bachelor’s degree in Accounting, Finance, or related field; CPA/ACCA strongly preferred.
• 8+ years of progressive accounting experience, including 3+ years in a Controller or supervisory role.
• Deep knowledge of US GAAP, internal controls, and audit standards.
• Experience with multi-entity and multi-state operations, consolidations, and intercompany eliminations.
• Background in services, SaaS, or subscription/recurring revenue models.
• Advanced Excel/Sheets skills (models, reconciliations, analyses).
• Strong communication and stakeholder management abilities.
• Experience with M&A integration or system migrations is a plus.
• High integrity, attention to detail, and a strong ownership mindset.

What Atlas Technica Offers

• Direct long-term contract with a US-based company
• Full-time remote role aligned with EST
• B2B set-up via SP (FOP in $USD)
• Competitive compensation
• Annual salary reviews and performance-based bonuses
• Company equipment provided for work
• Professional, collaborative environment with the ability to influence strategic decisions
• Opportunities for growth within a scaling global organization

Про команду

Ми — інтелектуально-аналітичний підрозділ, який працює з великими та складними масивами даних у високочутливому контексті. Наша робота зосереджена на підтримці складних операційних рішень, де точність, швидкість аналізу та системне мислення мають критичне значення.

Частина задач команди пов’язана з подіями та операціями, про які ви час від часу можете читати в новинах — хоча більшість деталей залишається непублічною.
 

Про роль

Ми шукаємо Senior Data Scientist, який здатен не просто будувати моделі, а створювати аналітичні рішення з прикладним результатом. Роль передбачає роботу в умовах невизначеності, самостійне формування гіпотез і відповідальність за кінцевий результат.
 

Основні обов’язки

• Побудова та впровадження прогнозних і аналітичних моделей для роботи зі складними датасетами.
• Пошук інсайтів у структурованих і неструктурованих даних.
• Використання сучасних підходів, зокрема NLP та LLM, для аналізу й обробки текстової інформації.
• Перетворення технічних результатів аналізу у зрозумілі звіти та візуалізації для командних і управлінських рішень.
• Виявлення неочевидних зв’язків і патернів, що мають вплив на безпеку та ефективність операцій.
• Участь у формуванні та розвитку архітектури аналітичних рішень.
   

Вимоги

• 5+ років практичного досвіду у Data Science / ML / аналітиці даних.
• Впевнене володіння Python, SQL, класичним ML-стеком.
• Досвід роботи в умовах високої невизначеності та вміння самостійно формулювати задачі.
• Практичні навички візуалізації даних (Tableau, Power BI або кастомні рішення).
• Розуміння принципів роботи мовних моделей (LLM) та досвід їх прикладного використання.
• Аналітичне мислення, системний підхід, відповідальність.
   

Формат та умови

• Формат роботи: гібридний (Київ, офіс + частково віддалено).
• Локація: розглядаємо кандидатів, які перебувають у Києві та області.
• Графік: стандартний робочий день.
• Формат співпраці: контракт або мобілізація.
   

Ми пропонуємо

• Роботу над реальними задачами з прикладним впливом.
• Сильну команду професіоналів.
• Забезпечення необхідним спорядженням.
• Навчання та постійний професійний розвиток.
• Середовище, де важливий результат, а не формальності.
• ППД — Київ та область.
   

З вас — системне мислення та відповідальність.
З нас — складні, змістовні й по-справжньому важливі задачі.