Senior Consultant_ Azure Databricks

Infosys
Utrecht, Netherlands
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Microsoft Azure Big Data Data Deduplication Information Engineering Data Transformation Data Systems Distributed Computing Environment Python (Programming Language) Modular Design Operational Databases Data Processing Cloud Platform System
+2 more
Data Pipelines Databricks

Job description

Technical requirement:

  • Design and develop scalable data pipelines that ingest, transform, and deliver data from multiple source systems to downstream consumers.
  • Work with large and complex datasets using distributed data processing frameworks and cloud-based data platforms.
  • Translate business and technical requirements into reliable data solutions that are maintainable, reusable, and production-ready.
  • Build data transformation logic for cleansing, standardization, deduplication, enrichment, aggregation, and preparation of analytical datasets.
  • Apply sound data engineering principles around modular design, reusability, automation, testing, and operational reliability.
  • Handle common real-world data challenges such as late-arriving data, duplicate records, source inconsistencies, schema changes, and reprocessing requirements.
  • Improve performance and efficiency of data processing workloads by analyzing bottlenecks and applying appropriate optimization techniques.
  • Implement data quality and control mechanisms to ensure accuracy, completeness, traceability, and trust in delivered datasets.
  • Collaborate and communicate effectively with architects, analysts, business users, and platform teams to understand requirements, explain technical decisions, and support solution delivery.
  • Operate and support production data pipelines, including monitoring, troubleshooting, incident resolution, and continuous improvement.

Requirements

  • Databricks Handson expertise with consulting level exposure
  • Python and Azure

Preferred

  • Good communication skills with stakeholder management skills

Personal Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include:

  • High analytical skills
  • A high degree of initiative and flexibility
  • High customer orientation
  • High quality awareness
  • Excellent verbal and written communication skills

About the company

Infosys is a global leader in next-generation digital services and consulting. We enable clients in 59 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, in 59 countries, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.

All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.

You must create an Indeed account before continuing to the company website to apply

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on nl.indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · WWC Europe 2026

2:37 min

Classifying and anonymizing data during system design

Reto Kaeser · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

1:59 min

Key takeaways and accessing the Databricks developer toolkit

Viktoria Semaan Viktoria Semaan · WWC Europe 2026

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

Videos

See all

Related articles

See all