Big Data Developer (Scala)

Talan Group

Warszawa

On-site

PLN 223,200 - 390,600

Full time

14 days+

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Benefits offered by this job

Private medical insurance LuxMed
Lunch pass card Pluxee
MultiSport Plus card
Training and career development

Job summary

A global consulting group is seeking a skilled software/data engineer to create scalable reporting solutions in a hybrid position based in Warsaw. Candidates should have a Bachelor's degree in Computer Science and 3+ years of experience, particularly with Apache Spark. This role involves building ETL/ELT pipelines and collaborating in an Agile environment, with a focus on continuous delivery and high-quality solutions.

Qualifications

  • 3+ years of experience in software/data engineering, preferably in financial services.
  • Hands-on experience with Apache Spark (Scala).
  • Strong background in ETL/ELT pipeline development.

Responsibilities

  • Design and implement scalable, high-performance reporting solutions.
  • Build Spark-based applications (Scala preferred).
  • Collaborate closely with Product Owners, Architects, Analysts, and cross-functional teams.

Skills

Apache Spark (Scala)
ETL/ELT pipeline development
CI/CD tools (Git, GitHub, Jenkins)
Professional English (B2+)
Big Data technologies

Education

Bachelor's degree in Computer Science or related field

Tools

JIRA
Confluence
Airflow
Control-M

Job description

Overview

Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are committed to delivering impactful, future-ready solutions.

Talan at a Glance

Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we’ve built a strong presence in the IT and consulting landscape, and we’re on track to reach €1 billion in revenuethis year.

Our Core Areas of Expertise

Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI.

Cloud & Application Services: We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency.

Management & Innovation Consulting: We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies.

We work with major global clients across diverse sectors, including Transport & Logistics, Financial Services, Energy & Utilities, Retail, and Media & Telecommunications.

Job Description

We are focusing on developing global solutions across different geographical locations for various regulatory reporting needs. Our main aim is to create efficient, user-friendly and scalable solutions that could be used by different teams in our company. We believe that strong and robust data products could mitigate risks and improve our capability inside our Group.

We run our projects in SCRUM/Agile methodology as we believe that continuous delivery that enables quick feedback loop is the key to our success and satisfaction of our clients. To achieve our goals, we use Scala, Python, Java, SQL/HQL, Airflow, ControlM, Jenkins, Github, Hive, Databricks, Azure, S3, Maven. To ensure the highest quality we use Unit Tests with Quality tests, Automation and Pull Requests review.

Responsibilities

WHAT YOU WILL BE DOING - but replaced with clear items below:

  • Design and implement scalable, high-performance reporting solutions.
  • Build Spark-based applications (Scala preferred).
  • Develop and maintain end-to-end ETL/ELT pipelines, including data transfer, validation, and business logic.
  • Collaborate closely with Product Owners, Architects, Analysts, and cross-functional teams across geographies.
  • Work in an Agile/Scrum environment with a strong focus on continuous delivery and quick feedback loops.
  • Contribute to CI/CD pipelines and ensure high-quality delivery through unit testing, automation, and peer reviews.
  • Document solutions in standard tools (JIRA, Confluence, ALM).
  • Integrate data from multiple sources, supporting a microservices-based architecture.
Qualifications

Required Qualifications:

  • Bachelor’s degree in Computer Science or related field.
  • 3+ years of experience in software/data engineering, preferably in financial services.
  • Hands-on experience with Apache Spark (Scala).
  • Strong background in ETL/ELT pipeline development.
  • Knowledge of integration solutions (APIs, microservices).
  • Familiarity with Big Data technologies and SQL databases.
  • Experience with CI/CD tools (Git, GitHub, Jenkins).
  • Professional English (B2+).

Preferred Qualifications:

  • Experience with Python, Bash scripting, or Airflow/Control-M.
  • Familiarity with Cloud platforms (Azure, AWS, Databricks, S3, Kubernetes, Docker, EMR).
  • Understanding basics of cybersecurity/quality assurance (Sonar).
  • Knowledge of software development lifecycle tools (HP ALM).
  • Strong analytical and problem-solving skills.
Additional Information
  • Permanent, full-time contract.
  • Training and career development.
  • Benefits and perks such as private medical insurance LuxMed, lunch pass card Pluxee, MultiSport Plus card.
  • Possibility to be part of a multicultural team and work on international projects.
  • Hybrid position based in Warsaw, Poland.
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