Senior Data Engineer

Experience: 6.00 + years

Salary: EUR 2160-2777 / month (based on experience)

Expected Notice Period: 15 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Remote

Placement Type: Full Time Contract for 12 Months(40 hrs a week/160 hrs a month)

(*Note: This is a requirement for one of Uplers' client - bonify Germany)

What do you need for this opportunity?

Must have skills required:

GitLab CI/CD, ReDash, Terraform, Apache Kafka, Databricks, Scala, AWS, GCP, Python, SQL

bonify Germany is Looking for:

About The Role

We are seeking a Senior Data Engineer to join our fast-growing data team. This role focuses on building robust, scalable, and efficient data pipelines and supporting business intelligence reporting across the organization. If you're passionate about clean architecture, data governance, and working on high-impact systems in the FinTech space—we want to hear from you.

You will be instrumental in reducing technical debt, optimizing our data environment, and enabling smarter business decisions through better data structuring.

Key Responsibilities

Refactor and optimize existing ETL pipelines for scalability and performance

Restructure and model data for improved business reporting and analytics

Lead efforts in data anonymization to ensure compliance with data privacy regulations

Address and reduce technical debt in the current data engineering landscape

Identify and clean up outdated code, unused tables, and inefficient data flows

Collaborate cross-functionally with BI, Product, and Engineering teams to understand requirements and deliver end-to-end solutions

Contribute to tooling improvements and internal automation for data team operations

What We’re Looking For

Technical Skills:

Expertise in Python (90%) for ETL and data pipeline development

Solid experience with Apache Kafka for real-time data streaming

Proficient in SQL and Databricks for data wrangling and performance tuning

Exposure to Scala (10%) and distributed computing with Apache Spark

Familiarity with data orchestration tools like Airflow, Google Composer, or equivalent

Experience:

5–6+ years in data engineering or a related field

Prior experience working with European clients, ideally in a FinTech or finance-related domain

Strong understanding of data sensitivity, compliance, and privacy standards in the financial sector

Comfortable working in remote or hybrid distributed teams

Preferred Qualifications

Experience with cloud platforms like GCP or AWS

Exposure to Terraform, GitLab CI/CD, or similar infrastructure-as-code tools

Familiarity with business intelligence tools such as Redash, PowerBI, or Looker

Strong communication skills and ability to work independently

Why Join Us?

Make a meaningful impact by helping restructure and optimize a complex data landscape

Be a key player in shaping the company’s data engineering best practices

Flexible remote work environment

Collaborate with a team of experienced professionals in a forward-thinking company

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
  
  
  

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!