Senior Data Engineer

Luxoft; Województwo małopolskie; On-site; PLN 180,000 - 240,000; Full time

Job summary

DXC Luxoft, Poland, is seeking an experienced data engineer to design, implement, and maintain data-driven applications in aRegulatory Reporting team. You will build scalable pipelines, craft data models, and contribute to all phases of the software lifecycle.

The role requires 10+ years in IT, expert SQL/Python/Databricks skills, and cloud, Big Data, and CI/CD experience. Collaboration with cross-country teams and a focus on high throughput/low latency define this position.

Qualifications

• Bachelor's degree in Computer Science or equivalent in the IT field.
• 10+ years of experience in a similar role.
• Hands-on experience with SQL, Databricks, Python (advanced).
• Hands-on experience building scalable data pipelines, processing high-volume data in batch as well as stream for near real-time analytics.
• Hands-on usage of AI in engineering SDLC.
• Experience with Big Data, Data Warehouse, and Data Lake.
• Experience with Cloud technologies (e.g., Azure), Unix/Linux, and shell scripting.
• Experience with Spark, Delta Lake, DLT, GitLab.
• Extensive experience designing applications, specifically considering the NFRs around high throughput and low latency for data processing.
• Expertise in building automated functional testing and CI/CD pipelines using industry-standard tools.
• Ability to quickly implement prototypes and iterate to harden the product with good engineering principles

Responsibilities

• design, implement, and maintain new and existing data-driven applications
• ability to develop and see through solutions end-to-end.
• engineer reliable data pipelines for sourcing, processing, distributing, and storing data
• design data models that can support ever-growing volumes
• contribute to all stages of the software development lifecycle
• provide technical expertise, recommendations, and innovative solutions
• work collaboratively alongside the product owner and other technologists
• share expertise and best practices with colleagues and contribute regularly to our engineering culture

Skills

SQL

Databricks

Python

Data pipelines

Big Data

Data Warehouse

Data Lake

Azure Cloud

Unix/Linux

Shell scripting

Spark

Delta Lake

DLT

GitLab

CI/CD

Automated testing

Education

Bachelor's degree in Computer Science

Tools

Databricks

GitLab

Spark

Delta Lake

DLT

Job description

DXC Luxoft is a global IT services and consulting company, part of DXC Technology, delivering cutting-edge digital and software solutions worldwide. We partner with leading financial institutions and global enterprises, helping them transform and scale through modern technology.

Join a global community of engineers and be part of building impactful, modern technology solutions!

Development of AI-enabled solutions that support a signal-driven commercial intelligence platform connecting market insights, content creation, sales engagement, and client feedback.

Project Description:

You’ll be working in the Regulatory Reporting team in Poland, in the Investment Bank within the Digital Operations Stream. Our purpose is to transform the way client does business by simplifying and improving the products and platforms relied on by our Regulatory and Data Clients. We play a crucial role in enabling the Investment Bank to meet its regulatory obligations and create value from its wealth of data. We develop and implement the most innovative technologies available within client in our solutions and products.

Our small, autonomous Agile teams are empowered to respond to client demands while challenging the ways of working to improve our delivery experience. With members based in London, New York, Singapore, Zurich, Poland, and India, we pride ourselves on being an inclusive and diverse team. We are looking for experts keen to keep learning and changing the game with us. Diversity helps us grow together. That’s why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.

Responsibilities:

• design, implement, and maintain new and existing data-driven applications
• ability to develop and see through solutions end-to-end.
• engineer reliable data pipelines for sourcing, processing, distributing, and storing data
• design data models that can support ever-growing volumes
• contribute to all stages of the software development lifecycle
• provide technical expertise, recommendations, and innovative solutions
• work collaboratively alongside the product owner and other technologists
• share expertise and best practices with colleagues and contribute regularly to our engineering culture

Mandatory Skills Description:

• Bachelor's degree in Computer Science or equivalent in the IT field with 10+ years of experience in a similar role
• Hands-on experience with SQL, Databricks, Python (advanced)
• Hands-on experience building scalable data pipelines, processing high-volume data in batch as well as stream for near real-time analytics
• Hands-on usage of AI in engineering SDLC.
• Experience with Big Data, Data Warehouse, and Data Lake
• Experience with Cloud technologies (e.g., Azure), Unix/Linux, and shell scripting
• Experience with Spark, Delta Lake, DLT, GitLab
• Extensive experience designing applications, specifically considering the NFRs around high throughput and low latency for data processing
• Expertise in building automated functional testing and CI/CD pipelines using industry-standard tools
• Ability to quickly implement prototypes and iterate to harden the product with good engineering principles