Senior Data Engineer

Luxoft; Wrocław; On-site; PLN 240,000 - 360,000; Full time

Job summary

Luxoft in Poland is seeking an experienced data engineer to join the Regulatory Reporting team within the Investment Bank. You will design, build, and operate data-driven applications and pipelines to meet regulatory and analytics needs.

You will work in an autonomous Agile setup with global colleagues, applying CI/CD, cloud, and big data tech to deliver scalable, low-latency solutions.

Qualifications

• Bachelor's degree in Computer Science or IT with 10+ years' experience.
• Strong SQL, Databricks, Python (advanced).
• Experience building scalable data pipelines for batch and streaming.
• Experience with AI in SDLC.
• Experience with Big Data, Data Warehouse, and Data Lake.
• Cloud technologies (Azure), Unix/Linux, and shell scripting.
• Experience with Spark, Delta Lake, DLT, GitLab.
• Designs apps with high throughput and low latency for data processing.
• Automated testing and CI/CD pipelines.
• Prototyping and iterative development.

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

Azure

Unix/Linux

Shell scripting

Spark

Delta Lake

DLT

GitLab

CI/CD

Automated testing

Prototyping

Education

Bachelor's degree in Computer Science

Tools

Databricks

GitLab

Delta Lake

DLT

Job 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