Jobs Data Engineer

🚀 We’re on the hunt for a talented AI/ML Engineer to design, implement, and optimize cutting-edge AI/ML solutions. If you thrive on solving complex problems and creating production-ready models, we’d love to hear from you!

🎯 What You’ll Do:

• Develop and fine-tune AI/ML models for performance and scalability.
• Enhance production models, debug issues, and ensure reliability.
• Work with cross-functional teams to shape future AI/ML innovations.
• Explore emerging AI/ML technologies and recommend tools/frameworks.
• Build robust pipelines using Python, SQL, Docker, and more.

🧩 What We’re Looking For:

• Strong experience in AI/ML, data science, or data engineering.
• Expertise in Python, TensorFlow, Keras, Scikit-learn, and Generative AI.
• Familiarity with Docker, Streamlit, and data tools like Pandas and SQL.
• Strong communication skills and the ability to work independently.
• English: Upper-intermediate or higher.

🎯 We offer:

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays

• A normal, supportive team without unnecessary bureaucracy

   

Ready to shape the future of AI/ML with us? 🚀 Apply now and be part of something extraordinary!

About

We’re looking for a senior ML/AI Engineer to build Stream, a new conversational interface. As an ML/AI engineer, you will architect, build, and deploy a new interface which spans voice, audio, and agentic control. This role is perfect for someone who cares deeply about real-world ML deployment and low-latency voice interactions.

Responsibilities

• Design and improve user-facing experiences, including voice, audio, and agentic control.
• Develop, evaluate, and deploy models spanning cloud models to resource-constrained on-device settings
• Optimize inference pipelines for latency, reliability, and concurrency

• Work closely with other ML/AI engineers, infrastructure engineers, designers, and cofounders on existing and future products

   

Qualifications

• 4+ years in artificial intelligence or machine learning applications
• Experience shipping ML-based products is required
• Experience in large-language models is required
• Experience in audio / voice ML is a major plus
• Comfortable writing production-grade software
• Passion for human-computer interaction

Workload — Full-time
Duration — Long-term
Location — EU

Senior (5+ years), strong customer communication, experience working directly with enterprise IT and Security teams. 

Key stack: Azure: AKS, Entra ID, Managed Identities, RBAC, Key Vault, API Management, Blob Storage, AI Search, Private Endpoints, VNets, Network Security Perimeters, multi-region AI/ML: Azure OpenAI, AI Foundry, Azure ML, LLM deployment, vLLM, RAG, multi-agent, embedding pipelines DevOps: Terraform, GitHub Actions, OIDC federation, Helm/Kustomize, CI/CD, secret management Data: Microsoft Fabric, PostgreSQL, Python ETL, Power BI API Dev: Python/FastAPI (async), React + TypeScript (Vite) 

Nice to haves: production AKS, Azure ML model serving, Azure OpenAI in production, locked-down Azure tenants, FDE / embedded team experience. Requirements: start ASAP, long-term, sprint model, work in tandem with client IT/Security.

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.

Шукаємо Senior Data Engineer з досвідом BigQuery, Python, DBT та Data Modeling в дуже велику і стабільну продуктову компанію. Компанія розробляє софт для найбільших страхових компаній світу.

Проект – побудова нової Data Platform на базі BigQuery з використанням DBT, Python, GCP. Сінйорна команда, адекватний і професійний менеджмент.

Шукаємо виключно українських девелоперів закордоном. Нажаль, в Україні цього разу не розглядаємо, через обмеження по доступу до критичних даних. Пропонуємо дуже гнучкі умови: віддалена робота, цікаві задачі і хороше/спокійне керівництво.

Опис вакансії:

What You’ll Do: 

• Design & run pipelines – create, deploy, and monitor robust data flows on GCP. 
• Model data – design star/snowflake schemas for analytics and reporting. 
• Write BigQuery SQL – build procedures, views, and functions. ● Build ML pipelines – automate training, validation, deployment, and model monitoring. 
• Optimize ETL – speed up workflows and cut costs. 
• Use the GCP stack – BigQuery, DBT + Dataflow, Dataproc, Airflow/Composer, Celigo.
• Guard quality & uptime – add tests, validation, and alerting; fix issues fast. 
• Document everything – pipelines, models, and processes. 

• Keep learning – track new tools and best practices. 

   

What You’ll Need: 

• 6+ yrs building data/ETL solutions; 2+ yrs heavy GCP work. 
• Proven BigQuery warehouse design and scaling. 
• Deep SQL, Python, DBT, Git; Talend, Fivetran, or similar ETL tools. 
• Strong data‑modeling skills (star, snowflake, normalization).
• Solid grasp of Data Lake vs. Data Warehouse concepts. 
• Problem‑solver who works well solo or with a team. 
• Clear communicator with non‑technical partners. 
• Bachelor’s in CS, MIS, CIS, or equivalent experience. 

Job Description

• Bachelor's degree in Computer Science or equivalent experience.
• 3+ years of experience in iOS testing.
• Experience in both manual and automation testing.
• Knowledge of XCTest/XCUITest is preferred.
• Strong understanding of mobile QA processes.
• Experience testing REST APIs.
• Familiarity with Agile methodologies.
• Strong communication and analytical skills.

Job Responsibilities

• Execute manual and automated testing.
• Create and maintain test documentation.
• Report and validate software defects.
• Work closely with development teams.
• Improve automation coverage where applicable.
• Participate in release verification.
• Support continuous quality improvement.

Department / Project Description

We are seeking a QA Engineer who enjoys both hands-on manual testing and automation development. You will contribute to delivering secure, high-quality iOS applications used by healthcare professionals worldwide.

Чи захоплює вас перетворення даних на практичні інсайти? Ми шукаємо Senior BI Engineer, який приєднається до нашої команди Data & Analytics і допоможе формувати звітність, створювати дашборди та розвивати підхід до прийняття рішень на основі даних у різноманітних бізнес- та потенційно державних проєктах.

Це роль рівня Senior із можливістю гібридного або віддаленого формату роботи, що забезпечує гнучкість та можливість співпрацювати з талановитими професіоналами з усього світу. Ідеальний кандидат має значний практичний досвід роботи з BI-інструментами, поглиблені знання SQL, моделювання даних та досвід тісної взаємодії з бізнес-стейкхолдерами. Ця роль вимагає не лише технічної експертизи, але й здатності розуміти потреби бізнесу, трансформувати їх у зрозумілі рішення для звітності та забезпечувати точність і надійність даних.

У Sigma Software ми цінуємо інноваційність, точність і командну роботу та створюємо підтримуюче середовище, де ваші знання та досвід можуть мати реальний вплив.

Чому варто приєднатися до нас? Ви працюватимете над важливими проєктами, отримаєте досвід у різних доменах та матимете доступ до переваг, таких як можливості професійного розвитку, міжнародна командна культура та сучасні технології.

Обов’язки:

— Проєктувати, створювати та підтримувати BI-звіти та дашборди
— Аналізувати бізнес-вимоги та перетворювати їх на звітні рішення
— Працювати зі стейкхолдерами для визначення KPI, метрик та логіки даних
— Писати та оптимізувати SQL-запити
— Перевіряти точність даних та досліджувати невідповідності
— Підтримувати покращення моделювання даних та звітного шару
— Співпрацювати з Data Engineers, Business Analysts, PMs та стейкхолдерами з боку замовника
— Готувати документацію для звітів, метрик та джерел даних
— Вносити вклад у розвиток BI best practices у межах юніту

Вимоги:

— 5+ років досвіду у BI, data analytics або data engineering
— Досвід роботи з Power BI, Tableau, Looker чи подібними інструментами буде плюсом
— Просунуті навички роботи з SQL
— Досвід моделювання даних, роботи зі структурами даних та data warehousing
— Розуміння процесів ETL/ELT та data pipelines
— Досвід очищення, валідації та контролю якості даних
— Вміння працювати з великими наборами даних та складною бізнес-логікою
— Добре розуміння бізнес-звітності, KPI та дизайну дашбордів
— Досвід прямої роботи зі стейкхолдерами для збору вимог та уточнення звітних потреб
— Рівень англійської Upper-Intermediate+

Буде плюсом:

— Досвід роботи з урядовими, державними, медичними, фінансовими або іншими регульованими доменами
— Досвід роботи з Azure, AWS, Snowflake, BigQuery, Databricks або Redshift
— Python або R для аналізу даних
— Досвід роботи з dbt, Airflow, Dagster чи подібними інструментами
— Знання data governance, access control та звітності, пов’язаної з комплаєнсом
— Досвід роботи за Agile

Are you passionate about turning data into actionable insights? We are looking for a Senior BI Engineer to join our Data & Analytics team and help shape reporting, dashboarding, and data-driven decision-making across diverse business and potentially government-related projects.

This is a Senior-level role with hybrid or remote work options, offering flexibility and opportunities to collaborate with talented professionals worldwide. The ideal candidate has strong hands-on experience with BI tools, advanced SQL, data modeling, and close collaboration with business stakeholders. This role requires not only technical expertise but also the ability to understand business needs, translate them into clear reporting solutions, and ensure data accuracy and reliability.

At Sigma Software, we value innovation, precision, and teamwork, and we provide a supportive environment where your expertise can make a real impact.

Why join us? You’ll work on meaningful projects, gain exposure to different domains, and enjoy benefits such as professional growth opportunities, a global team culture, and access to cutting-edge technologies.

Responsibilities:

— Design, build, and maintain BI reports and dashboards
— Analyze business requirements and translate them into reporting solutions
— Work with stakeholders to define KPIs, metrics, and data logic
— Write and optimize SQL queries
— Validate data accuracy and investigate inconsistencies
— Support data modeling and reporting layer improvements
— Collaborate with Data Engineers, Business Analysts, PMs, and customer-side stakeholders
— Prepare documentation for reports, metrics, and data sources
— Contribute to BI best practices within the unit

Requirements:

— 5+ years of experience in BI, data analytics, or data engineering-related roles
— Strong experience with Power BI, Tableau, Looker, or similar tools
— Advanced SQL skills
— Experience with data modeling, data structures, and data warehousing
— Understanding of ETL/ELT processes and data pipelines
— Experience with data cleaning, validation, and data quality control
— Ability to work with large datasets and complex business logic
— Good understanding of business reporting, KPIs, and dashboard design
— Experience working directly with stakeholders to gather requirements and clarify reporting needs
— Upper-Intermediate+ English level

Will be a plus:

— Experience with government, public sector, healthcare, finance, or other regulated domains
— Experience with Azure, AWS, Snowflake, BigQuery, Databricks, or Redshift
— Python or R for data analysis
— Experience with dbt, Airflow, Dagster, or similar tools
— Knowledge of data governance, access control, and compliance-related reporting
— Experience with Agile delivery

Чи захоплює вас перетворення даних на практичні інсайти? Ми шукаємо Senior BI Engineer, який приєднається до нашої команди Data & Analytics і допоможе формувати звітність, створювати дашборди та розвивати підхід до прийняття рішень на основі даних у різноманітних бізнес- та потенційно державних проєктах.

Genesis is a full-service international IT company. More than 1,500 people in five countries create products for more than 200 million unique monthly users. We are one of the largest partners of Facebook, Google, Snapchat, and Apple in Eastern Europe. Our ecosystem consists of more than 15 companies and an investment fund.
 

EverHelp is a company in the Genesis ecosystem. We’re a team of professionals, that’s developing outsourcing support services for plenty of products all over the world at a dynamic tempo. The project launched in 2021, and last year we experienced a yearly growth rate of +82%. Since February 2022, we've managed to preserve all our workplaces and, most importantly, we continue to strengthen our team while maintaining an employee satisfaction rate of over 90%.
 

In 2026, EverHelp received 9 international workplace and employer awards. The company ranked #1 in the Top 30 Inspiring Workplaces in Europe, was named the #1 employer among European companies with 500–4,999 employees, and earned Best-in-Class recognition across 6 categories: Culture & Purpose, Leadership, Inclusion & Belonging, Wellbeing, Employee Voice, and Employee Experience. EverHelp was also named one of the 28 Best Places to Work by Business Intelligence Group — a global award recognizing companies with strong workplace cultures and outstanding employee experience.
 

Our statement:

• We’re against war and unjustified aggression,
• We evacuated all the teammates and their families from the frontline, helped them find a new place to live and provided financial support,
• We provided the team with charging stations,
• We continue to work together for the future of Ukraine.
   

EverHelp is scaling fast, and our data infrastructure needs a dedicated owner to keep it reliable and growing.
 

Your future responsibilities include:

• Building, optimizing, and maintaining ETL pipelines that extract data from ERP
  systems, databases, and APIs, transform it into a usable format, and load it into
  BigQuery
• Automating data ingestion, transformation, and loading processes to reduce manual
  intervention and ensure efficiency
• Monitoring and troubleshooting data pipelines proactively — catching performance
  issues, errors, and data quality problems before they escalate
• Managing and optimizing data storage: partitioning, indexing, and performance tuning
  in BigQuery
• Designing data models that represent the structure and relationships within business
  data
• Implementing data quality checks and validation rules at every stage of the pipeline
• Identifying and resolving data inconsistencies, errors, and missing values
• Conducting data audits and comparing results with business user needs — proposing
  solutions to close existing gaps
• Collaborating with analysts, data scientists, and business stakeholders to understand
  their data needs and translate them into scalable solutions
   

Why this role might be interesting for you:

If you love structure and enjoy optimizing processes — this is your playground. You'll make real-world architectural decisions, not just execute tickets. Every pipeline you build or improve directly powers business decisions at the highest level, so the impact of your work is visible and immediate. And if you want to be the person who shapes a data-driven culture from the inside — that's exactly the role we're offering.
 

Needed experience & skills:

• 2-4 years of hands-on experience as a Data Engineer
• Advanced knowledge of SQL and Python
• Hands-on experience with GCP, in particular BigQuery
• Strong ETL and data warehousing skills: Apache Airflow, dbt
• Clear understanding of both the technical and business sides of data products
• Clear and concise communication; comfortable working cross-functionally with nontechnical stakeholders
• Proactive problem-solving mindset — analytical thinking and attention to detail
• English level — B2+
   

Nice to have skills:

• Experience at a large systematic company (retail, banking, telecom, FMCG, logistics)
• Comfort working autonomously as the only Data Engineer on a team
• Adaptability in a high-paced, fast-changing environment
   

Hiring Process:

CV Screening → Questionnaire → Intro Call → Tech & Soft Interview → Bar Raising
 

Work with EverHelp is about:

• Opportunity to join the Ukrainian company and help the Ukrainian economy,
• 20+ vacation days and unlimited sick leaves, corporate doctor & psychologist,
• Medical insurance and +10 Healthcare leaves for mental & physical recovery,
• Systematical learning & development inside a team and on an individual level: compensation for professional webinars, courses, conferences, etc.,
• Ability to work from Lviv & Kyiv offices with free breakfasts and lunches or fully remotely,
• Team of professionals who’s ready for knowledge sharing, internal professional communities, team buildings,
• Corporate discounts for gym membership and for other different services like medical services, language schools, etc.
   

Submit your resume and join our team!

Requirements

• 4+ years of commercial experience as a DevOps Engineer.
• Strong hands-on experience with AWS / GCP.
• Experience with Terraform (Infrastructure as Code).
• Experience with Docker / Kubernetes.
• Strong Linux administration skills.
• Experience building and maintaining CI/CD pipelines.
• Experience with monitoring and observability tools (Grafana / Prometheus).
• Scripting and automation using Python / Bash.
• Experience with PostgreSQL / MySQL / Redis.
• Strong troubleshooting and problem-solving skills.

Responsibilities

• Design, implement, and maintain scalable, secure, and highly available cloud infrastructure.
• Automate infrastructure provisioning and deployment processes using Infrastructure as Code.
• Build, maintain, and optimize CI/CD pipelines.
• Configure and support containerized environments.
• Monitor production systems, troubleshoot incidents, and ensure infrastructure reliability.
• Collaborate with development teams to improve deployment and operational processes.
• Maintain infrastructure documentation and implement DevOps best practices. 

We are a product company building AI-powered mobile applications used by over 10 million people in 150 countries. We own the entire product lifecycle — from the initial idea to large-scale global implementation. We thrive in a fast-paced environment, making data-driven decisions without unnecessary bureaucracy. If you value autonomy, rapid releases, and seeing the direct impact of your work, you will fit right in.
 

The Role

We are looking for a DevOps Engineer to join the team building the infrastructure for our ambitious new project in the Cloud Gaming & Streaming space. You will work alongside our Senior DevOps Engineer to build and scale a high-performance, fault-tolerant system that provisions and streams to a fleet growing from hundreds toward thousands of servers. This is a hands-on role focused on automation, reliability, and fleet operations at scale.
 

Work Format & Relocation

Location: Dubai, UAE (Office).

Trial Period: First 2–3 months are fully remote for a smooth onboarding.

Relocation Support: Full corporate visa sponsorship and relocation support provided after the trial period.
 

Key Responsibilities

• Automate provisioning of bare-metal and virtualized hosts end to end — storage, GPU passthrough, VM lifecycle — across a large, heterogeneous server fleet.
• Build and maintain fleet-scale orchestration: parallel deployment, health checks, and self-healing routines that keep hundreds-to-thousands of machines consistent.
• Develop and harden automation scripts (Bash, Python, PowerShell) that must behave deterministically across servers with differing hardware.
• Manage Linux/KVM virtualization (libvirt/QEMU) and Windows guests, including GPU passthrough and networking.
• Build and maintain configuration management with Ansible to keep fleet hosts and VM images consistent and reproducible.
• Own CI/CD pipelines for infrastructure code and deployment automation, so provisioning scripts, images, and configuration ship in a tested, repeatable way rather than by hand.
• Work with object storage and large-scale content distribution (S3-compatible, e.g. Cloudflare R2).
• Build the observability stack together with the Senior DevOps Engineer — metrics, logging, and alerting across the entire fleet (Prometheus/Grafana or equivalent). You will help design monitoring system from the ground up.
• Own network configuration at fleet scale — NAT, port forwarding, routing, and traffic paths to thousands of concurrent streaming clients.
• Establish secure secrets management (Vault or similar) and sane access practices across the fleet.
• Participate in incident response and on-call rotation to keep a live streaming platform stable.
• Help evolve infrastructure-as-code with Terraform as the fleet grows.
   

Requirements

• Experience: 2+ years in a DevOps / infrastructure role, with exposure to systems running at meaningful scale.
• OS Expertise: Solid Linux administration; working knowledge of Windows administration (or strong willingness to go deep — this project needs both).
• Scripting: Confident with at least one of Bash / Python / PowerShell, and comfortable reading and debugging the others.
• Configuration Management: Hands-on with Ansible for keeping hosts and images consistent.
• CI/CD: Experience building pipelines (GitLab CI, GitHub Actions, or similar) for infrastructure and deployment automation.
• Monitoring: Hands-on experience standing up and running monitoring/alerting (Prometheus, Grafana, Loki/ELK, or similar) — comfortable building it, not just reading dashboards.
• Virtualization: Practical experience with VMs and hypervisors (KVM/libvirt, QEMU, or similar).
• Networking: Solid grasp of Linux networking — NAT, iptables, port forwarding, routing.
• Language: English (Upper-Intermediate or higher, sufficient for technical collaboration).
   

Nice-to-have

• Experience operating server fleets (dozens+) and writing idempotent, restart-safe automation.
• GPU passthrough / vfio, or experience with GPU-heavy workloads.
• Object storage at scale (S3/R2) and large-file distribution.
• Experience building an observability stack from scratch on a large fleet.
  Secrets management at scale (Vault, SOPS, or similar).
• Familiarity with Terraform.
• Exposure to the streaming or gaming field, or an understanding of data streaming principles.

• Basic knowledge of C++ or C# to collaborate effectively with the core infrastructure team.

  
  What We Offer

• Greenfield Ownership: The monitoring and observability stack does not exist yet — you will help design and build it from zero, shaping how we see our entire fleet.
• Growth: Work directly with a Senior DevOps Engineer on a greenfield platform — a strong path to grow your fleet-scale and virtualization expertise.
• Relocation Package: Full financial and organizational support for your move to Dubai (visa, tickets, initial housing) after the trial period.
• Modern Office: Work from a vibrant, tech-driven workspace in Dubai.
• Real Impact: Direct influence on the tech stack of a Cloud Gaming platform with a potential million-user audience.
• Fast-Paced Culture: A product-driven environment where decisions are made quickly, without micromanagement.
• Compensation: Competitive salary pegged to USD (to be discussed individually based on technical interview results).

Simulmedia is looking for an experienced and dynamic Data Engineer with a curious and creative mindset to join our Data Services team. The ideal candidate will have a strong background in Python, SQL and large-scale data pipelines. This is an opportunity to join a team of amazing engineers, data scientists, product managers and designers who are obsessed with building the most advanced TV and streaming advertising platform in the market. As a Data Engineer you will design, build and operate the data platform that powers the company: pipelines that ingest and transform very large datasets from external data partners, data models that the whole company queries, and services that make that data available to internal products. You will work on a team that empowers the other teams to use our huge amount of data efficiently. Using a large variety of technologies and tools, you will solve complicated technical problems and build solutions to make our pipelines robust and fault tolerant and our data easily accessible throughout the company.

Location: Ukraine is mandatory. Our offices are located in Kyiv and Lviv. Teams are located in Kyiv and Lviv and primarily work remotely with occasional offline meetings.

Responsibilities:

• Design and build batch data pipelines that ingest, validate and transform multi-billion-row datasets from external data providers and internal systems
• Model complex real-world data: dimensional models, reference data, and temporal data whose attributes change over time (e.g. slowly changing dimensions), and evolve those models safely as upstream sources change their schemas and semantics
• Develop and operate workloads on our lakehouse platform (Databricks / Spark / Delta) and our data warehouse (Redshift), including migrating existing pipelines from the warehouse to the lakehouse
• Orchestrate pipelines with Airflow: scheduling, dependencies, retries, backfills and alerting
• Prove correctness, not just completion: design parity checks and reconciliation queries when replacing an existing pipeline, run large historical backfills, and investigate data discrepancies down to the row level
• Build and maintain Python services and REST APIs that serve data to internal products
• Optimize for performance and cost: query tuning, table design, workload management and right-sizing compute
• Own what you ship: monitor production pipelines, participate in incident triage and root-cause analysis, and harden systems so the same failure does not happen twice
• Collaborate cross-functionally with product managers, data scientists and stakeholders across the company to deliver on product roadmap
• Work within an Agile team that releases cutting-edge new features regularly
• Take a high degree of ownership and freedom to experiment with new technologies to improve our software

Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 7+ years of work experience as a data engineer
• Proficiency in Python and using it as the primary development language in recent years
• Expert-level SQL: comfortable writing, reading and tuning complex analytical queries against very large tables, and debugging why two result sets disagree
• Hands-on experience with a distributed data processing platform (Spark/Databricks strongly preferred; EMR, Snowflake or BigQuery also relevant) and with a columnar data warehouse (Redshift, Snowflake, BigQuery, ClickHouse, etc)
• Ability to design complex data models: normalized, dimensional and temporal (slowly changing dimensions, effective-dated records, point-in-time correctness)
• Experience with workflow orchestration tools (Airflow or similar): building DAGs, managing dependencies and running backfills
• Experience integrating third-party data feeds: handling schema drift, late or missing deliveries, vendor data-quality defects and versioned reference data
• Experience building REST services in Python (FastAPI, Flask, etc)
• Experience developing, maintaining, and debugging problems in large server-side code bases
• Working knowledge of AWS (S3, IAM, ECS or similar compute) and Docker
• Good knowledge of engineering best practices and testing (unit test, integration test, code review, CI/CD)
• The desire to take a high level of ownership of the things you work on
• Ability to learn new things quickly, maintain a high bar for quality, and be pragmatic
• Must be able to communicate with U.S based teams
• Experience with Delta Lake / medallion lakehouse architectures is a plus
• Experience migrating legacy pipelines between platforms with strict parity requirements is a plus
• Experience with advertising, media or measurement industry data is a plus
• Ability to communicate effectively with the U.S.-based teams and work 11:00 AM — 8:00 PM EEST (11:00 - 20:00).

Our Tech Stack:

• Almost everything we run is on AWS (S3, ECS, EMR, RDS and more)
• Python is our primary language; SQL is everywhere
• Databricks (Spark, Delta Lake) is our lakehouse platform; Redshift and Postgres are our warehouses and operational databases
• Airflow orchestrates our pipelines
• Docker for packaging; GitHub Actions and Jenkins for CI/CD
• Grafana, Sentry and OpenSearch for observability
• Datasets measured in billions of rows

Interview Process:

1. Pre-screening (30 mins)
2. Technical Interview (1h)
3. System Design (1.5h)
4. Product Interview (30 mins)
5. Offer.

Шукаємо Senior / Lead Software Engineer (Data), який допоможе будувати й масштабувати production-grade data systems: пайплайни, сервіси та storage-рішення для збору, обробки, зберігання й доставки даних. Це роль для інженера з сильним software engineering mindset, який вміє працювати не лише на рівні реалізації, а й на рівні архітектури, data modeling, reliability, performance та technical leadership. Очікуємо, що людина зможе брати end-to-end ownership за критичні data workflows і впливати на стандарти команди.
 

Обовʼязки:

• Проєктувати, розробляти та підтримувати batch/streaming data pipelines і data services.
• Приймати технічні рішення щодо ingestion, orchestration, storage, трансформацій і delivery.
• Будувати ETL/ELT-рішення з використанням Python, Airflow, Cron.
• Інтегрувати дані з API, логів, NoSQL, IoT/embedded-джерел та внутрішніх сервісів.
• Проєктувати схеми зберігання, моделі даних і структури баз даних.
• Оптимізувати рішення з погляду performance, scalability, cost та maintainability.
• Забезпечувати data quality, observability, reliability і стабільність production-процесів.
• Планувати та реалізовувати міграції даних між платформами й форматами.
• Документувати схеми, трансформації, data lineage та ключові технічні рішення.
• Брати участь у code review, design discussions, incident resolution.
• Менторити інших інженерів і розвивати engineering standards у data-напрямку.
   

Вимоги:

• Значний досвід як Senior / Lead Software Engineer, Data Engineer або Backend Engineer у data-intensive середовищі.
• Сильний Python і досвід побудови production-ready рішень.
• Досвід роботи з Apache Airflow.
• Досвід роботи з MongoDB або іншими NoSQL-рішеннями.
• Сильне розуміння проєктування баз даних і data models: schema design, indexing, normalization/denormalization.
• Досвід роботи з великими обсягами даних, high-throughput або streaming workloads.
• Досвід із Azure Blob Storage або аналогічними object storage.
• Впевнене знання SQL та оптимізації запитів.
• Глибоке розуміння ETL/ELT, incremental processing, datalake/warehouse principles.
• Розуміння testing, observability, fault tolerance, idempotency, recovery для data systems.
• Досвід із Git, CI/CD, production deployment.
• Досвід технічного лідерства, mentoring, design review і роботи зі стейкхолдерами.
   

Буде плюсом:

• Snowflake, Elasticsearch
• Kafka або інші streaming-платформи
• Grafana / Prometheus
• Ansible або інші IaC / automation tools
• Power BI
• Досвід із cloud DWH, governance, lineage, internal data tools
  
  Надаємо бронювання*

Project Description:

We are building a next generation cross asset data fabric, which will bring together disparate data sources for the global bank. It will enable industry leading analytics, reporting and data science solutions. There are multiple streams within application covering Reporting, Data and Analytics.

Responsibilities:

This role is for a Senior Business Intelligence (BI) Developer to create reporting framework and set up the ground work for creation of Tableau reporting via Dashboards and scheduled reporting. The ideal candidate will help to ensure highest level of quality of a product being developed while working very closely with different stakeholders spread across globally
Candidate will work independently and is highly self-motivated. Applies skills and knowledge of the business to test creative solutions to meet client and business needs.

Mandatory Skills Description:

1. Strong SQL and Data Analyst experience.
2. Experience in Tableau
3. Proven experience as BI developer
4. Background in data warehouse design (e.g. dimensional modeling) and data mining
5. Understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
6. Proven abilities to take initiative and be innovative
7. Analytical mind with a problem-solving aptitude.
8. Team player, good on communication with Business Analysts or Traders, Highly Motivated, quick learner, general interest in Equity/Equity Derivatives Trading Business. Experience in Risk Department (Risk area).
9. Exposure to Equities business
10. Must have worked in Agile [min 2+ years]
11. Must have good analytical & logical skills
12. Strong interpersonal, oral and written communication

Nice-to-Have Skills Description:

- Understanding of Big Data concepts and technologies, enabling effective handling and analysis of large datasets.
- Concepts (HDFS,Spark,Hive,Impala)

Languages:

English: B2 Upper Intermediate

Are you passionate about building reliable, scalable, and highly available production systems? Do you enjoy solving complex engineering challenges through automation, observability, and software engineering?
Optimove is looking for a Senior Site Reliability Engineer (SRE) to join our global SRE organization. In this role, you'll partner with engineering teams globally to improve the reliability, scalability, and operational excellence of our cloud platform.
As a Senior SRE, you'll lead engineering-driven reliability initiatives by building automation, improving deployment processes, advancing observability, and driving operational excellence across our production environment.

Responsibilities
 

• Reliability Engineering – Design and implement solutions that improve the reliability, availability, and scalability of our production platform while proactively identifying and eliminating operational risks.
• Automation & Platform Engineering – Build internal tools and automation that eliminate manual operational work, improve engineering productivity, and streamline production workflows.
• Observability – Improve monitoring, alerting, dashboards, and production visibility while driving initiatives that reduce alert fatigue, improve incident detection, and strengthen operational insights.
• Production Rollouts – Design, improve, and support production deployment processes using modern release strategies such as Canary, Blue/Green, and Feature Flags to ensure safe and reliable releases.
• Production Reliability & Incident Response – Lead the investigation and resolution of critical production incidents, perform root cause analysis, and implement long-term preventive improvements that improve platform resilience and reduce recurring issues.
• On-Call & Operational Excellence – Participate in the team's on-call rotation, ensuring reliable production operations. Respond to critical incidents, collaborate with engineering teams during service disruptions, and drive engineering improvements, automation, and operational best practices that reduce operational toil and prevent future incidents.
• Cloud & Infrastructure – Design, maintain, and improve our Kubernetes-based cloud platform, CI/CD pipelines, and production infrastructure running on GCP and AWS.
• Engineering Partnership – Collaborate closely with Software Engineers, DevOps, DBAs, and Product teams to improve reliability across the software development lifecycle and promote SRE best practices.
   

Requirements
 

• 5+ years of experience in Site Reliability Engineering, Platform Engineering, DevOps, or Infrastructure Engineering.
• Hands-on experience operating Kubernetes in production environments.
• Strong experience working with public cloud platforms (GCP or AWS).
• Strong programming and scripting skills (Python preferred; Go or Bash are a plus).
• Experience designing and building automation and internal engineering tools.
• Experience working with CI/CD pipelines and modern deployment methodologies.
• Hands-on experience with observability platforms such as Datadog, Prometheus, or Grafana.
• Strong understanding of Linux, networking, distributed systems, and cloud-native architectures.
• Excellent troubleshooting, debugging, and root cause analysis skills.
• Strong communication skills and experience collaborating with globally distributed engineering teams.
   

Advantages
 

• Experience with Infrastructure as Code (Terraform, Ansible, etc.).
• Experience with messaging and distributed technologies such as Kafka, Pub/Sub, or Redis.
• Experience supporting modern deployment strategies such as Canary, Blue/Green, or Feature Flags.
• Familiarity with OpenTelemetry and modern observability tooling.
• Understanding of Site Reliability Engineering principles, including SLIs, SLOs, and error budgets.
• Experience working in large-scale SaaS production environments.
• Relevant cloud or Kubernetes certifications (GCP, AWS, CKA, CKAD).
  
  Why Join Us?
  Join a team where Site Reliability Engineering is treated as an engineering discipline—not just an operations function. You'll work on large-scale cloud infrastructure serving enterprise customers while building automation, improving observability, and enabling engineering teams to deliver software safely and reliably.
• You'll collaborate with a global SRE organization using modern cloud-native technologies, Kubernetes, distributed systems, and large-scale SaaS workloads. You'll have the opportunity to lead impactful reliability initiatives, influence engineering best practices, and solve complex production challenges that directly improve the experience of both customers and engineering teams.

The primary goal of the project is the modernization, maintenance and development of an eCommerce platform for a big US-based retail company, serving millions of omnichannel customers each week.

Solutions are delivered by several Product Teams focused on different domains - Customer, Loyalty, Search and Browse, Data Integration, Cart.

Current overriding priorities are new brands onboarding, re-architecture, database migrations, migration of microservices to a unified cloud-native solution without any disruption to business.

• Responsibilities:

  We are looking for Senior Data Engineer to implement a solution for a big retail company. The main focus is to support processing of big data volumes and integrate solution to current architecture.

• Mandatory Skills Description:

  • Overall years of experience required 8+
  • Strong, recent hands-on expertise with Azure Data Factory and Synapse is a must (3+ years).
  • Strong expertise in designing and implementing data models, including conceptual, logical, and physical data models, to support efficient data storage and retrieval.
  • Strong knowledge of Microsoft Azure, including Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks, pySpark for building scalable and reliable data solutions.
  • Extensive experience with building robust and scalable ETL/ELT pipelines to extract, transform, and load data from various sources into data lakes or data warehouses.
  • Ability to integrate data from disparate sources, including databases, APIs, and external data providers, using appropriate techniques such as API integration or message queuing.
  • Proficiency in designing and implementing data warehousing solutions (dimensional modeling, star schemas, Data Mesh, Data/Delta Lakehouse, Data Vault)
  • Proficiency in SQL to perform complex queries, data transformations, and performance tuning on cloud-based data storages.
  • Experience integrating metadata and governance processes into cloud-based data platforms
  • Certification in Azure, Databricks, or other relevant technologies is an added advantage
  • Experience with cloud-based analytical databases.
  • Experience with Azure MI, Azure Database for Postgres, Azure Cosmos DB, Azure Analysis Services, and Informix.
  • Experience with Python and Python-based ETL tools.
  • Experience with shell scripting in Bash, Unix or windows shell is preferable.
  • Demonstrated ability to lead cross-functional engineering teams, define technical strategy and architecture, drive delivery of complex data platforms, mentor engineers, and effectively communicate with stakeholders at all organizational levels.

• Nice-to-Have Skills Description:

  • Experience with Elasticsearch
  • Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
  • Troubleshooting and Performance Tuning: Ability to identify and resolve performance bottlenecks in data processing workflows and optimize data pipelines for efficient data ingestion and analysis.
  • Collaboration and Communication: Strong interpersonal skills to collaborate effectively with stakeholders, data engineers, data scientists, and other cross-functional teams.
  • Ability to plan, estimate and track progress of implementing features
  • Computer Science and data science academic and education credentials