⚡ We’re hiring: Data Engineer 📊

Do you love working with big data?

Join us in building reliable pipelines and data infrastructure that power analytics and drive business insights

Key skills:

Databases and storage:

∙ SQL (PostgreSQL, MySQL, Oracle, Microsoft SQL Server, etc.);

∙ NoSQL (MongoDB, Cassandra, DynamoDB, Redis, etc.);

∙ Data Modeling: Dimensional Modeling, Star/Snowflake Schema;

Basic understanding of data architecture and data processing system performance optimization;
Fluency in programming and scripting languages such as Python, Scala, or Java;
Theoretical knowledge of CI/CD (continuous integration/continuous deployment) practices for data pipelines (e.g., Git, Jenkins, Terraform);
Proven experience in creating reliable, efficient, and automated data workflows;
Confident spoken English level B2 or higher.

A plus:

Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes);
Experience in specific industries, such as finance, healthcare, e-commerce, or manufacturing;
Experience with large-scale data architectures and big data processing frameworks (Apache Spark or any other);
Familiarity with modern AI tools and experience using them in production.

Key responsibilities:

▸Developing and optimizing data pipelines for collecting, processing, and analyzing large-scale data;

▸Working as part of the client's team on international projects (primarily in EMEA);

▸Collaborating with data architects, analysts, and business teams to make effective data-driven decisions;

▸Building and managing data warehousing solutions, including relational databases and NoSQL systems;

▸Ensuring data quality and consistency in accordance with best practices and standards;

▸Troubleshooting data issues, optimizing performance, and automating workflows.

We Offer:

☑︎ Learning and Development:

A wide range of diverse projects in industries such as FinTech, Medicine, Entertainment, eCommerce, Gaming, Artificial Intelligence, and more;
A broad technology stack with the opportunity to switch between technologies;
Individual growth plans and regular reviews of conditions (project roles, salary level);
Preparation for interviews with international clients in English.

☑︎ Work Environment:

On-site work format;
Spacious and comfortable workstations;
Detailed onboarding: introduction to the team, processes, and policies, office tour, welcome card;
Cozy kitchens, game rooms, coworking spaces, and lounge areas.

☑︎ Additional Perks:

Voluntary health insurance;
Discounts from partner companies (from pizzerias and bookstores to electronics stores).

Let’s talk. Send your CV to job@innowise.com DM me for details

We look forward to your application! ✅

Data Engineer