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Data Engineer – Azure Synapse Specialist

Data Engineer – Azure Synapse Specialist

USTMadrid, Madrid, España
Hace 11 días
Descripción del trabajo

UST is looking for the very Top Talent… and we would be delighted if you were to join our family!

More in detail, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work company with over 35.000 employees all over the world and a presence in more than 35 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies.

We are seeking a talented Data Engineer with expertise in Microsoft Azure Synapse to drive data engineering and migration initiatives for one of our esteemed customers in the asset and capital management sector. The ideal candidate will have a proven track record of designing, implementing, and optimizing cutting-edge data solutions while thriving in a collaborative and innovative environment.

Your main tasks and accountabilities will be :

Design, develop, and maintain scalable data solutions using Azure Synapse Analytics .

Build and manage data pipelines, data integration workflows, and ETL / ELT processes.

Collaborate with data architects, engineers, and business stakeholders to gather requirements and deliver robust solutions.

Optimize performance of data flows, queries, and pipelines within Synapse.

Ensure data quality, integrity, and security throughout the data lifecycle.

Troubleshoot and resolve data-related issues, ensuring scalability and efficiency.

Document solution designs, workflows, and technical implementations to maintain transparency and clarity.

What do we expect from you?

Proven hands-on experience in Azure Synapse Analytics , including designing and developing solutions.

Proven expertise in developing and managing data pipelines, integrations, and ETL / ELT processes, leveraging Python for seamless data transformation and workflow automation.

Advanced proficiency in SQL with a focus on query optimization.

Solid understanding of data warehousing, data lakes, and associated concepts.

Experience with Azure Data Factory and related Azure data services.

Working knowledge of data governance, security, and compliance principles.

Fluent in English with outstanding communication and documentation skills, enabling effective collaboration with cross-functional teams.

Ability to work both independently and collaboratively in a distributed team environment.

Familiarity with tools like Spark, Anaconda, or Python notebooks (nice to have).

Exposure to Snowflake, Power BI, or other cloud data platforms (nice to have).

Familiarity with DevOps tools - Git, Azure DevOps (nice to have).

Prior experience with nearshore or remote delivery models (nice to have).

Availability to travel to the client's headquarters in London once a year.

What do we offer?

23 days of Annual Leave plus the 24th and 31st of December as discretionary days!

Work location : Remote within Spain.

Numerous benefits (Health Care Plan, teleworking compensation, Life and Accident Insurance).

Free access to several training platforms

Professional stability and career plans

UST also compensates referrals from which you could benefit when you refer professionals.

The option to pick between 12 or 14 payments throughout the year.

Real Work Life Balance measures (flexibility, WFH, or remote work policy)

UST Club Platform discounts and gym access discounts.

In UST we are committed to equal opportunities in our selection processes and do not discriminate based on race, gender, disability, age, religion, sexual orientation or nationality. We have a special commitment to Disability & Inclusion, so we are interested in hiring people with disability certificate.

Seniority level Mid-Senior level

Employment type Full-time

Job function Information Technology

Industries : IT Services and IT Consulting

Referrals increase your chances of interviewing at UST by 2x

Note : This description excludes non-essential boilerplate and location postings and focuses on the role, responsibilities, qualifications, and offering.

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Data Engineer Azure • Madrid, Madrid, España