Senior Data Engineer — Data Platforms & Integrations
Primary stack
Nice to have's
Job description
About the Position
Are you interested in building the data infrastructure that modern products and AI systems depend on?
About the Product
Many of the systems Forma Pro works with depend on data coming from multiple APIs, databases, SaaS platforms, event streams, documents, and legacy systems.
Before analytics, machine learning, or AI can work reliably, this data has to be collected, normalized, validated, and made available with predictable quality and latency.
Our projects include operational data platforms, integration layers, event-driven systems, and data pipelines for marketplaces, logistics, MarTech, PropTech, and other complex digital businesses.
Technologies We Use
- Python
- SQL
- PostgreSQL
- Kafka and event-driven architectures
- Airflow and workflow orchestration
- dbt
- AWS
- Docker
- APIs, webhooks, and third-party integrations
- Analytical and operational data stores
Individual projects may use different infrastructure depending on their requirements.
About You
- You enjoy making messy data understandable and dependable
- You treat reliability, testing, and observability as part of data engineering rather than optional extras
- You think carefully about schemas, contracts, and how systems fail
- You are comfortable integrating third-party platforms that were clearly not designed with your convenience in mind
- You can work independently and take responsibility for architecture decisions
- You prefer sustainable systems over heroic manual fixes
Required Skills and Competencies
- Spoken English - upper-intermediate or above
- 4+ years of professional data engineering or backend engineering experience
- Strong Python and SQL skills
- Experience designing and maintaining production data pipelines
- Experience working with relational databases and analytical data stores
- Experience integrating APIs, webhooks, and external data sources
- Understanding of batch and streaming architectures
- Understanding of data modeling, schema design, and data quality
- Experience with cloud infrastructure
- Automated testing experience
Nice to Have
- Kafka or another event-streaming platform
- Airflow, Dagster, Prefect, or similar orchestration tooling
- dbt
- Snowflake, BigQuery, Redshift, or Databricks
- IoT or high-frequency event ingestion
- Data observability and lineage
- Reverse ETL
- Vector databases and embedding pipelines
- Experience preparing data infrastructure for ML or LLM applications
Responsibilities
- Design and build scalable data ingestion and transformation pipelines
- Integrate external APIs, databases, SaaS systems, event streams, and files into reliable data flows
- Build batch, streaming, and near-real-time processing systems
- Define data models, schemas, and contracts between services
- Create normalization layers for heterogeneous data sources
- Implement automated data validation and quality checks
- Build monitoring for freshness, schema drift, failed jobs, and unusual data behavior
- Improve performance, reliability, and maintainability of existing pipelines
- Work with AI and ML engineers to provide dependable datasets for models and agents
- Participate in architecture decisions and help choose appropriate infrastructure for each project
- Own data systems from initial design through production operation
We Offer
- No micromanagement and no working-time surveillance
- Freedom to make engineering decisions and choose appropriate tools
- Flexible working hours
- Fully remote work
- Complex integration and data problems rather than endless CRUD tasks
- An opportunity to work closely with AI, ML, and backend engineers
- Direct influence on architecture
- Company support when you need it
- Direct communication with Forma Pro's CEO and CTO
About the Company
Senior Ownership
Small Teams
Flexible Working
Direct Collaboration
Learn more about working with us.
Apply for Senior Data Engineer
Send us your CV and, if useful, a short note about your experience.
What Happens Next?
- We review your background for this role.
- If there is a potential match, we contact you for an introductory conversation.
- A technical discussion follows when both sides see a fit.
Careers / Data Engineering
© Forma Pro. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Всім привіт!✌️ Ми компанія Forma Pro. Раді вітати вас на нашій сторінці!🤗Тут може бути довжелезний текст про те, які ми експертні та цілеспрямовані✍️. Та хочеться розказати трішки інакше🙌.Ми засновані у 2001 році в одному з найкращих і найсильніших міст України — Харкові, найкрутішими фаундерами Алексом та Марією.❣️ І нам дуже пощастило з ними, адже у нас в компанії основними цінностями — є люди.😎 За всі роки нашого існування, ми не маємо випадків, коли б тебе не почули, та не розглянули будь-яку (навіть божевільну🤪) ідею.Вся діяльність компанії спрямована на створення якісних продуктів, та ще так, щоб і співробітникам і клієнтам було комфортно і з задоволенням працювати.😌 Поняття «мікроменеджмент» для нас відсутнє взагалі.❌ І таким чином, можемо похизуватись кейсами як разом з нами маленькі стартапи перетворювались у великі корпорації, а юні та зелені джуни у сильних тімлідів та архітекторів.💪Працюємо ми у сферах FinTech та PropTech (і не тільки) з клієнтами з США, Європи, Великобританії та Канади. Стек технологій у нас в компанії дуже різноманітний: PHP (Symfony та Laravel), JavaScript (Node.js, React.js, Vue.js, Angular), MongoDB, PostgreSQL, Firebase, Kubernetes, Docker, AWS, і ще багато чого.💻А ще Forma Pro вітає професіональний та особистий розвиток і допомагає з вивченням нових технологій.♟Так можна продовжувати до нескінченності.♾ Тож краще, висилайте нам резюме і ми розповімо вам більше деталей вже особисто!🎉