Data Engineer

Scalable data solutions and teams

In today’s business, data is not only a key asset but, more and more often, the foundation of the company’s operations. A Data Engineer is a specialist who designs, builds, and manages the data infrastructure, thus enabling secure and effective processing and analysis of data and information. As Craftware, we provide comprehensive data engineering solutions in the cloud (AWS, Azure, GCP) as well as on-premise environments, supporting our clients in leveraging the potential of their data through:

Migrations to cloud data platforms,
Data integration into corporate data lakes,
Data modeling and developing data pipelines for Data Science and AI,
Integration of AI/ML components into analytical applications,
Applying DevOps practices in the data domain (DataOps).

We deliver end-to-end projects and also offer body and team leasing, i.e. leasing individual data engineering professionals to supplement the Client team or staffing and standing up the entire, self-organizing and multi-functional Data & AI teams to augment the Client organization and enhance their capabilities.

Our Data Engineers work with the latest technologies, such as computing clouds (AWS, Azure, GCP), cloud data platforms (e.g. Databricks, Snowflake, Google Big Query, Microsoft Fabric), ETL tools (e.g. Informatica, Talend), programming languages (Python, SQL) and Big Data technologies (e.g. Hadoop, Spark).

Benefits

Flexibility and short implementation time

Leverage our experts to realize key data and AI initiatives without delays.
Comprehensive solutions

From small, specialized projects and pilot implementations to enterprise-class systems in the cloud (and in on-premise environments).
Ensure data security and compliance

We implement solutions that meet the highest security standards and data regulations.
Optimize performance and costs

We deliver the desired functionality and help optimize the performance and costs of the [data architecture].
Reduce risk

Benefit from our expertise to minimize the risk of key decisions, actions, and entire implementations.

We have the expertise you need

Every modern data & AI system must not only be functional but also scalable, secure, and cost-effective. Our Cloud Data Engineers have experience designing and implementing solutions in on-premise and cloud environments that meet these requirements.

Database specialists (e.g., MS SQL, Oracle DB, PostgreSQL, MongoDB)
ETL and data integration specialists (e.g., Informatica, Talend, ADF, AWS Glue)
Big Data specialists (e.g., Apache Spark, PostgreSQL)
Databricks or Snowflake specialists
Cloud Data Engineering specialists (Azure, GCP, AWS)
DataOps Engineer

Our Certifications

Why Us?

Expertise & experience

Our engineers are experienced professionals and experts in their fields.
Databricks partner

We are Databricks partners, yet we implement solutions based on other technologies, too.
Big Data & AI experience

We have experience in handling big data, including large volumes and unstructured data. We dealt with AI long before ChatGPT emerged on the market.
Cost & performance optimization

We deliver the required functionality and help optimize cloud infrastructure performance and costs.