Senior Data Engineer
hace 5 días
Talan – Positive Innovation
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 revenue this 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 looking for a highly skilled
Senior Data Engineer
with strong experience in designing, building, and maintaining scalable data solutions. The ideal candidate has a deep understanding of ETL processes, big data technologies, and modern analytics platforms, and is comfortable working in fast-paced, data-driven environments.
Key Responsibilities
- Design, develop, and optimize robust ETL pipelines to support data ingestion, transformation, and processing at scale.
- Build and maintain high-performance data models to support analytics, reporting, and data science initiatives.
- Work with large-scale distributed systems and data lake architectures (Apache Hive, AWS S3, etc.).
- Ensure data quality through strong validation practices and automated testing.
- Collaborate closely with cross-functional teams to deliver secure, clean, and reliable data to downstream consumers.
- Implement and maintain CI/CD pipelines and align code to static analysis tools such as Sonar or Fortify.
- Work with BI tools and platforms (Databricks, Power BI, Starburst, etc.) to enable effective data visualization and insights.
Required Experience & Skills
- 5+ years of experience
in implementing ETL pipelines. - 3+ years of experience
working with
Apache Spark
. - 3+ years of hands-on experience
with
Scala
programming. - 2+ years of experience
with
BI tools
(Databricks, Power BI, Starburst, or similar). - Strong expertise in
SQL
and relational database systems. - Experience designing and implementing
data models
for enterprise use cases. - Familiarity with
data lakes
and cloud-based storage environments (Apache Hive, AWS S3). - Strong background in
data validation
,
unit testing
, and best practices for code quality. - Solid understanding of
CI/CD
principles and experience delivering high-quality code in production environments.
Additional Information
What do we offer you?
- Full-time contract.
- Smart Office Pack so that you can work comfortably from home.
- Training and career development.
- Benefits and perks such as
private medical insurance
, life insurance. - Possibility to be part of a multicultural team and work on international projects.
- This is a remote position based in Málaga, Spain. Relocation is mandatory.
- Possibility to manage work-permits.
If you are passionate about development & tech, we want to meet you
Talan Spain's commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company's "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law 6/2019).
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