Data Engineering Services

Comprehensive data engineering development services focused on Python and modern frameworks to help you resolve any data-related challenge.

Our experienced data engineers will help you become a truly data-driven business and make better-informed decisions.

Examples of our projects
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Comprehensive data engineering development services focused on Python and modern frameworks to help you resolve any data-related challenge.

Our experienced data engineers will help you become a truly data-driven business and make better-informed decisions.

Łukasz Grzybowski
Head of Machine Learning and Data Engineering

Why choose
Data Engineering?

data-engineering LARGE
photo-python-5

Data is everywhere these days, like it or not. Every system generates data, but many companies don’t know how to make use of it, and the way they gather and store it often makes using it impossible.

Over the years, Python has become the language of data. In modern architectures, data modules are irreplaceable parts; they exist in natural symbiosis with the remaining elements. 

STX Next’s data engineering services are custom-made to meet each client’s individual needs and include data gathering, storing, processing, access management, and visualization.

Since we originated in backend Python, the technologies we specialize in are great for web development as well as any other business verticals that require scalability and high performance.

The resulting data transparency,  democratization and governance will transform your business into a data-driven company, allowing you to make informed decisions that will boost your growth and give you a competitive advantage in the long run.

Data Engineering services we’ve provided

to our clients
Data scraping Data scraping
Data warehouse Data warehouse
Data lake Data lake
transaction-database-1 Transaction database
Business intelligence Business intelligence
Streaming and batch processing NEW Stream processing
DataOps NEW Batch processing
Big data processing Big data
Data warehouse Data optimization
Data automation Data automation
Data consulting NEW Data consulting
ETL-1 ETL
photo-python-1

Data Engineering services we’ve provided

to our clients
Data scraping Data scraping
Data warehouse Data warehouse
Data lake Data lake
transaction-database-1 Transaction database
Business intelligence Business intelligence
Streaming and batch processing NEW Stream processing
DataOps NEW Batch processing
Big data processing Big data
Data warehouse Data optimization
Data automation Data automation
Data consulting NEW Data consulting
ETL-1 ETL

Which Data Engineering problems

can we help you with?
  • Data Engineering Troubleshooting Data Engineering Consulting
  • Data Gathering Data Gathering
  • Data Storing Data Storing
  • Data Processing Data Processing
  • Analytics Analytics
  • System Design and Architecture System Design and Architecture
  • Performance Tuning Performance Tuning

At STX Next, we provide comprehensive support to our clients to better understand their data-related challenges.

We help them discover those needs, identify their priorities, and analyze their current abilities, competencies, and limitations.

Additionally, we aid them in evaluating how complex and time-consuming their projects are, defining the scope of work, determining growth perspectives best suited for their existing solutions and market trends, and much more.

Data is all around us. We help companies identify which data they should be analyzing to best serve their business.

We design and implement systems that allow our clients to download this data from various sources and in various formats, including raw files, rows from different types of databases, web scrapers, sensors, APIs, etc.

We design, optimize, and build solutions for data storing, including transactional databases, data warehouses, and data lakes.

Data democratization is important to us. We make data available by implementing solutions such as a data catalog within the company to help make fully data-driven decisions.

We help solve all the problems related to effective data storing and backing up, including compression, normalization, and choosing the right mechanisms, formats, and data structures.

Additionally, we also make the data easy to read and save, paying attention to its availability and the proper access control.

We know the importance of having scalable, fast, reliable, and flexible data processing solutions.

We implement various approaches depending on the client’s individual needs, including data pipelines, ETL processes, real-time streaming, and batch processing.

We’ve helped many companies extract, transform, clean, and load their data.

We also know how to effectively address the five Vs of big data: volume, velocity, variety, veracity, and value.

Gathering and storing data isn’t everything. We know that using it the right way is the real key to success.

That is why we actively support implementing solutions that generate insights.

We have extensive experience in implementing business intelligence solutions, product analytics tools, predictive models, as well as dashboards and reports tracking metrics both periodically and in real time.

As a company with 15+ years of market experience, we’ve driven the growth of business systems from many different industries. 

Even at the earliest stages of system building, we provide them with our extensive insight, help them discover their needs, and adapt new solutions to fit the existing ones. 

We’ve prepared both high-level implementation design plans and low-level technical system architecture.

Not only do we help design and implement solutions from scratch, but also optimize and maintain existing systems.

We know from experience that not all solutions can keep up with the rapid growth of business, and the expectations toward collecting, storing, processing, and analyzing data can substantially change depending on a company’s maturity.

That is why we also help improve, grow, and adjust the existing solutions to each company’s current business situation.

Data Engineering Troubleshooting Data Engineering Consulting

At STX Next, we provide comprehensive support to our clients to better understand their data-related challenges.

We help them discover those needs, identify their priorities, and analyze their current abilities, competencies, and limitations.

Additionally, we aid them in evaluating how complex and time-consuming their projects are, defining the scope of work, determining growth perspectives best suited for their existing solutions and market trends, and much more.

Data Gathering Data Gathering

Data is all around us. We help companies identify which data they should be analyzing to best serve their business.

We design and implement systems that allow our clients to download this data from various sources and in various formats, including raw files, rows from different types of databases, web scrapers, sensors, APIs, etc.

Data Storing Data Storing

We design, optimize, and build solutions for data storing, including transactional databases, data warehouses, and data lakes.

Data democratization is important to us. We make data available by implementing solutions such as a data catalog within the company to help make fully data-driven decisions.

We help solve all the problems related to effective data storing and backing up, including compression, normalization, and choosing the right mechanisms, formats, and data structures.

Additionally, we also make the data easy to read and save, paying attention to its availability and the proper access control.

Data Processing Data Processing

We know the importance of having scalable, fast, reliable, and flexible data processing solutions.

We implement various approaches depending on the client’s individual needs, including data pipelines, ETL processes, real-time streaming, and batch processing.

We’ve helped many companies extract, transform, clean, and load their data.

We also know how to effectively address the five Vs of big data: volume, velocity, variety, veracity, and value.

Analytics Analytics

Gathering and storing data isn’t everything. We know that using it the right way is the real key to success.

That is why we actively support implementing solutions that generate insights.

We have extensive experience in implementing business intelligence solutions, product analytics tools, predictive models, as well as dashboards and reports tracking metrics both periodically and in real time.

System Design and Architecture System Design and Architecture

As a company with 15+ years of market experience, we’ve driven the growth of business systems from many different industries. 

Even at the earliest stages of system building, we provide them with our extensive insight, help them discover their needs, and adapt new solutions to fit the existing ones. 

We’ve prepared both high-level implementation design plans and low-level technical system architecture.

Performance Tuning Performance Tuning

Not only do we help design and implement solutions from scratch, but also optimize and maintain existing systems.

We know from experience that not all solutions can keep up with the rapid growth of business, and the expectations toward collecting, storing, processing, and analyzing data can substantially change depending on a company’s maturity.

That is why we also help improve, grow, and adjust the existing solutions to each company’s current business situation.

Our Data Engineering
tech stack

Amazon Web Services
Azure
Google Cloud Platform
Kinesis
Dataflow
Redshift
BigQuery
Snowflake
Spark
Kafka
Airflow
Hadoop
Hive
Presto
Storm
Flink
Databricks
Cloudera
NiFi
Scrapy
PowerBI
Tableau
Logstash
Kibana
Elasticsearch
MySQL
PostgreSQL
Oracle
MongoDB
DynamoDB
Cassandra
HBase
The tools we use to address your

data challenges

photos-4
Cloud environment

To offer our clients complete scalability, simplified maintenance, and effective cost management, we offer solutions based on cloud services. The platforms we use are Amazon Web Services, Microsoft Azure, and Google Cloud Platform.

Distributed processing

To help our clients take full advantage of the power of big data, we build data lakes and data pipelines. We also use distributed processing solutions together with orchestration tools such as Spark, Hadoop, Hive, Presto, Kafka, and Airflow.

Relational database

We help our clients optimize their transactional databases and build advanced analytical systems by implementing ETL processes, data pipelines, data warehouses, and data marts using MySql, PostgreSQL, Oracle, Redshift, and BigQuery.

NoSQL database

Dedicated solutions such as NoSQL databases improve working with unstructured data, which many of our clients have. To streamline the process, we use tools such as MongoDB, DynamoDB, Cassandra, and HBase.

Reporting and dashboards

By implementing business intelligence solutions we help our clients become fully data-driven companies and stay ahead of their competition. We specialize in Tableau and PowerBI

ELK stack

Using leading market tools, for example Elasticsearch, Logstash, and Kibana, we implement solutions such as full-text search, log-parsing engines, and analytics platforms.

Real-time processing

We use tools such as Kinesis, DataFlow, Storm, and Flink to help our clients process and analyze large amounts of data in real time.

Cooperation models

icon-team-extension (3)
Team
Extension

We’ll provide you with a scalable, external team of qualified DE experts.

Our Data Engineering experts can partner up with your existing team when you need to scale up your project.

icon-end-to-end-2
Project-Based
Cooperation

We’ll take care of the entire project for you, from development to deployment.

Implementing Data Engineering has never been so effortless. Our team will take charge of the product scope and the whole development process, building iterative prototypes and integrating the final Data Engineering solution into your existing infrastructure for you.

icon-consulting-expertise-2
Consulting &
Expertise

We’ll suggest the best DE solutions to unlock the value of data.

Following an in-depth analysis of your current capacities and business needs, we will provide you with guidelines on what Data Engineering technology, approach, and architecture can best help you achieve your business goals.

We are the largest Python software house in Europe

—maybe even the whole world, and Python is the first programming language of choice for Data Engineering

Due to its versatility, flexibility, and comprehensiveness, Python is the perfect fit for Data Engineering solutions.

The language’s open-source and high-level nature as well as its numerous tools provide everything necessary for anyone working with data processing technology, whether it’s data gathering, storing, transforming, modeling, or visualizing.

We’ve placed a special emphasis on Python since we were founded in 2005. Today, we have 200+ Python developers on board, which makes us the largest Python software house in Europe.

Our Data Engineering experts are not only skilled in the technology—they also have extensive experience as Python developers.

schedule a consultation
photo-services-python
No.1
Python & Django Developer and Global Leader

on the independent, obejctive B2B research platform Clutch.co with an average rating of 4.8 from over 50 client reviews

Outsourcing is a big leap for your software projects

On your path to greater velocity and flexibility, we’ve got you covered every step of the way.

photos
1
What if I want to keep some of the work in-house?

Smart move. By all means, keep your existing team if it works for you. Your external team will simply complement what you’re already doing while bringing in a fresh perspective and greater scalability.

They’re embedded completely in our process to the point that there’s no difference between one of our in-house developers and one of theirs.
Scurri
Software Engineering Manager
2
What if I need to save my budget and cut development costs?

You can scale the team down or move development entirely back in-house.

Not only are they transparent and flexible, but they’ve been immensely helpful when we needed to scale up. When the time came to scale down, it was no problem, either.
Blocktrade AG
CEO
3
How will I know you’re a culture fit?

We’ve been on the market since 2005 and 99% of our clients are outside of Poland, so we have lots of experience cooperating across cultures.

STX Next has very energetic and sociable teams, and we get along well. After working extensively with their teams, we honestly see them as colleagues rather than suppliers. That’s a unique thing, and it has to do with the culture of STX—it’s something they should be proud of.
Hogarth Worldwide
CTO / Product Director
4
How can I be sure you’ll understand my project and what it needs?

You don’t want to just ship features; your software should help your business succeed in the market. That’s why we’ll begin our cooperation with a discovery process to understand what you’re building, for whom, and why.

They are willing to learn and understand our business. Instead of just coding to our specs, STX Next engages with us as a partner, wanting to understand, improve the code, and deliver better products.
Fintech Company, Austin, TX
Senior Engineering Manager

What do we promise

if you partner with us?
A true partnership only works if both sides bring everything they’ve got to the table. Here’s what you can expect when you join forces with STX Next:
Outstanding, non-corporate atmosphere, team spirit, and great people to work with
Strong skills in unit testing and debugging
Deep awareness of the threading limitations of Python and multi-process architecture
Truly Agile working environment composed of small, independent teams working in Scrum with a flat organizational structure
Demonstrated experience in multiple Data Engineering tools, such as Airflow, Spark, Kafka, ElasticSearch, cloud services, and others

Expert knowledge and understanding of effective solutions to data-related processing problems

Effortless English communication skills
Tried and tested use of best coding practices
photo-promise
Examples of Data Engineering

projects we’ve delivered

BuildFax
Industry: Fintech

BuildFax

BuildFax provides business-critical property condition and history data to the largest insurance and financial institutions in the world.

Based in Austin, Texas, the company offers a one-of-a-kind database that encompasses over 84 billion data points on commercial and residential structures. In 2019, BuildFax was acquired by Verisk—a leading data analytics provider in the US.

featured in
Yahoo Finance
read the portfolio entry
enroly-machine-learning-project
Industry: Education

Enroly

Enroly provides the first CAS, visa, and arrival automation platform of its kind.

The company’s products are used in over 100 countries. They make post-acceptance administration simple and secure, allowing universities to easily implement the solutions into their existing systems.

Read the portfolio entry
dmass-machine-learning-project
Industry: Innovation

dMass

dMass connects industry to radically transformative innovation.

The company’s platform serves as a hub where innovators, industry leaders, and investors collaborate to find innovative solutions that spur economic development and help the environment, while being profitable at the same time.

All of our case studies

During our 15+ years on the market, we have delivered 350+ projects for 130+ clients in several dozen industries, ranging from fintech and big data to education and advertising.

browse all

What our clients say

C-level executives, product managers, tech leads, and founders from around the world have appreciated our help in delivering world-class products under strict deadlines.

The feedback we get from our clients is consistent. We take real ownership. We happily serve as mentors in tech and Agile. We listen to real business needs instead of just shipping features.

The team is very product oriented - they try to understand the product and its end users. This means that there are more sets of eyes looking after potential User Experience issues, which results in a better product.

Ron Shteinberg
Head of Product and Operations @ Newable
Featured in forbes

It's been an absolute pleasure working with the engineers at STX: from day one they've shown a huge amount of professionalism and drive to deliver great results quickly. It's been easy to discuss different approaches, whether it be technical solutions, better ways to work together, or product decisions from a user perspective. This has ensured we've achieved the best outcomes.

Chris O'Reilly
CTO @ Deuce Tennis

The project team demonstrated efficiency by streamlining processes and supplying frequent performance metrics. Resources always communicated effectively, and the deliverables were almost completely bug-free.

Leigh Simpson
CTO @ FusePump
Featured in logo-techcrunch-1

STX Next have been working really well with my engineering team. They’re demonstrating great skill, craft, and agile thinking in the way they go about their work, and they’re great people to boot.

Bradley Wright
CTO @ Verve

We really appreciate working with STX Next, because of their dedication to quality as well as their effort to meet always the deadline - even in a very challenging project phase.

Dr. Holger de Bie
Innovation Manager @ finstreet
Featured in the-telegraph-logo

We were looking to move our Python & Django development out of London, to save money but also to find a good quality Agile team approach that included some product ownership. STX Next was able to provide the high quality dev team alongside project management. This fact combined with the costs savings from moving away from London made it a simple decision.

Neal Hendey
Managing Director @ TBSeen

One key highlight was their ability to take complete ownership over their work, paying close attention to each detail and always taking into account the end-user and the overall business goal.

Gilad Amir
CEO @ Paze

We came to STXnext looking for a partner to join our developers in putting together a site for Buddhist texts. It's a complex project, involving tens of thousands of texts and relations, and dealing with nearly forty languages. We've been more than happy with the process. The STXnext team has shown initiative and interest, and has been quick to adapt to working with our developers.

Bhante Sujato
Director @ SuttaCentral

What other services
do we offer?

icon-machine-learning-1

ML

SERVICES

DevOps

SERVICES

Python

DEVELOPMENT SERVICES
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Speed up work on your software projects and outpace the competition.

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Matthew Harris
Director of Business Dev
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Marta Błażejewska
New Business Manager