Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultantsin 21 countriesand 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 empowermentto 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 initiativesthrough 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 integral clients across diverse sectors, including Transport & Logistics, Financial Services, Energy & Utilities, Retail, and Media & Telecommunications.

Job Description About the role

We are looking for a

Big Data Developer

to join an Agile environment and work on the design, development and evolution of

data lake solutions for Market Risk use cases .





You will work with technologies such as

Spark, Scala and SQL , developing large-scale data processing pipelines and contributing to the ingestion, transformation, validation and publication of critical data.

The role combines hands-on technical development with problem-solving and collaboration across Agile squads, functional teams and production support teams.

What will you do?

Design, develop and maintain

data lake pipelines

using

Apache Spark, Scala and SQL .

Build and maintain scalable data processing solutions for large volumes of data.

Orchestrate

batch workflows and dependencies

using tools such as

Control-M and Airflow .

Implement data

ingestion, transformation, validation and publication

processes for Market Risk use cases.

Analyse and optimise the

performance, reliability and scalability

of Spark-based workloads.

Analyse technical and functional requirements, identify gaps and propose effective solutions.

Contribute to delivery planning and collaborate with different teams to ensure successful implementation.

Support

production incidents , perform root-cause analysis and contribute to continuous improvement of operational processes.

Work closely with

Agile squads, functional teams and production support teams





to deliver high-quality solutions and business value.

Follow software engineering and data development best practices to ensure robust, maintainable and production-ready solutions.

Qualifications What are we looking for?

Mandatory requirements:

2+ years of professional experience

in Big Data, Data Lakes or cloud-based data platforms.

Strong hands-on experience with

Apache Spark, Scala and SQL

for large-scale data processing.

Good understanding of

Data Lake architecture , data quality controls, data lineage and production-grade data pipelines.

Strong analytical and problem-solving skills.

Excellent communication and teamwork skills, with the ability to collaborate effectively with technical and functional stakeholders.

Adaptability and a proactive approach to solving technical challenges.

English: C1 level

or equivalent professional fluency.

Spanish is considered a plus.

Nice to have

Experience with any of the following will be highly valued:

Workflow orchestration and scheduling tools, particularly

Control-M and Airflow .

Databricks

and cloud technologies such as

Azure

and

AWS .

YARN

and cloud-based compute environments.

CI/CD and software engineering practices, including

GitHub, Jenkins and SonarQube .

Banking production environments, operational monitoring and incident management tools such as

ServiceNow .

Knowledge of

Market Risk processes , including P&L;, valuations, risk metrics and regulatory reporting data flows.

Additional Information What do w

📌 Big Data Developer (Salamanca)
🏢 Talan
📍 Salamanca