Data Engineering Company

We help startups and SMEs unlock the full potential of data

Apache AirflowApache KafkaApache SparkAWS KinesisAWS Amazon WebservicesGoogle Cloud Platform

Data Engineering Services

We’ll help you select data warehouse and ETL technologies, configure them, and optimize the performance of your environment.

  • Building pipelines and workflows with Airflow
  • Custom data extractors and enrichment integrations
  • Cloud & DevOps: AWS, GCP, Docker, Kubernetes
  • Java, Scala, Python development
  • Distributed data processing: Kafka, AWS Redshift, AWS Kinesis, Spark, Hadoop, Hive
  • Data migrations to AWS Redshift, AWS RDS, Google BigQuery, Apache Kafka clusters

Hire a dedicated remote team

Craft an end-to-end data processing solution and apply software craftsmanship principles.

Discuss Your Project

Scale up with remote engineers

Looking for data engineers to augment your in-house team with expertise, greater capacity and speed?

Hire Remote Developers

Engage technology experts

Searching for an expert to consult on your work, audit a system or bridge skills gaps on your team?

Request Consultation

Why Outsource Data Engineering?

Data Engineering Expertise

Leverage our expertise at every stage of the process: data collection, data processing and the Extract, Transform and Load (ETL) process, data cleaning and structuring, data visualisation and building predictive models on the top of data.

Time and Cost Savings

Hiring new employees with the proper skills takes too much time and is expensive — that’s assuming you can even find them in a very competitive job market. We have experts who are ready to work on your data engineering project.

Client Value & Trust — Testimonials

We partner with entrepreneurs, business and technology leaders who are after software driven innovation in the products, processes and business ventures they undertake to bring to life.

CTO at TMC Group, USA

Business - Enterprise

"SoftKraft have proven across several technologies they are way ahead of the curve. They are well versed in IoT, big data, and machine learning. The team impressed us with their ability to speak at the business strategy level."


CTO at TMC Group, USA

VP Engineering at ZenGuard, Germany

Business - SME

"SoftKraft has been a very reliable partner for us. They took over our system infrastructure in a short time and managed to handle it in a professional and reliable way. We would be happy to work with SoftKraft again."


VP Engineering at ZenGuard, DE

Founder and CEO of Neutopia, Australia

Business - Startup

"The team have been excellent to work with as we develop ML capabilities for our platform. They are harnessing the latest technology in ML and artificial intelligence for our product goals."


Founder and CEO of Neutopia, AU

Data Engineering Case Studies

Big Data ETL for Real Estate

Using Apache Spark for Big Data processing speeded up investment decision making and provided scalable infrastructure for growing data volumes and machine learning solutionsLearn More →

Spring Boot
Big Data

Big Data ETL for Real Estate

User Analytics for a Gaming Community

Using Apache Kafka and OpenShift to build a real-time distributed streaming solution enabling gamers to optimize their performance and monetization strategies in a gaming community.Learn More →

Spring Boot

User Analytics for a Gaming Community

BI Tool for Property Projects

Installing Big Data-enabled BI Tool in company IT infrastructure allowed analysts to interactively examine business data in near real time as well as equipped them to make faster and better investment decisionsLearn More →

Spring Boot
AWS Redshift

BI Tool for Property Projects

Content Processing Software for SEO Services at Scale

Using AWS and cloud machine learning services to craft a software application enabling SEO solutions provider to deliver search engine optimization results at lower costs and scale their SEO service business.Learn More →

AWS Lambda
IBM Watson

Content Processing Software for SEO Services at Scale

Need help with data engineering? Contact Us