Data Engineer-II

We are a consulting company with a bunch of technology-interested and happy people!

We love technology, we love design and we love quality. Our diversity makes us unique and creates an inclusive and welcoming workplace where each individual is highly valued.

With us, each individual is her/himself and respects others for who they are and we believe that when a fantastic mix of people gather and share their knowledge, experiences and ideas, we can help our customers on a completely different level.

We are looking for you who want to grow with us!

With us, you have great opportunities to take real steps in your career and the opportunity to take great responsibility.

Role Summary

Data Engineer

Key Responsibilities

• Design, develop, and optimize

  data pipelines and products

  that align with business and technical requirements.


• Manage and maintain

  CI/CD pipelines

  ,

  Terraform scripts

  , and

  cloud infrastructure

  using DevOps best practices.


• Ensure all data solutions meet standards for

  security, scalability, observability, and performance

  .


• Collaborate with the

  Product Owner

  and cross-functional teams to define and deliver data product roadmaps.


• Contribute to the organizations

  data mesh strategy

  by ensuring interoperability across data domains.


• Develop and maintain

  SSIS Cubes

  for multidimensional data modeling and

  OLAP querying

  .


• Build and maintain

  interactive dashboards and reports

  using

  Power BI

  or equivalent tools, integrating data from both

  cloud

  and

  on-premises

  sources.


• Conduct performance tuning, data validation, and root cause analysis to ensure reliable and accurate data delivery.


• Drive continuous improvement in

  data architecture

  , reducing technical debt and enhancing automation.


• Stay updated on emerging

  data, analytics, and cloud technologies

  to propose innovative solutions.

Required Qualifications

• 4+ years of experience

  in Data Engineering, Software Engineering, or Advanced Analytics.


• Hands-on experience with

  Google Cloud Platform (GCP)



• Strong proficiency in

  SQL

  and one or more programming languages (

  Python, Java, or Scala

  ).


• Experience with

  data formats

  (Avro, Parquet) and

  data modeling techniques

  .


• Knowledge of

  NoSQL

  and

  RDBMS

  database systems.


• Experience managing

  DevOps pipelines

  ,

  infrastructure-as-code (Terraform)

  , and cloud deployments.


• Working experience with

  data visualization and BI tools

  (Power BI preferred).


• Excellent problem-solving and communication skills with a collaborative mindset.


• Fluent in

  English

  , both written and verbal.

Notice Period:

Work Location

Form of employment:

We interview candidates on an ongoing basis, do not wait to submit your application.