Data Ops Engineer (EMEA)
Lisbon
Hitachi Digital Services
Hitachi Digital Services helps enterprises digitally transform their business through the power of technology and innovation.Our Company
We’re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what’s now to what’s next. We make it happen through the power of acceleration.
Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.
The team
You'll be part of an innovative support team. This team collaborates closely with cross-functional departments, to deliver reliable, high-performance solutions. Your contributions will be essential to ensure seamless data flow, system functionality, and integration across diverse platforms.
The role
We are seeking a skilled and proactive DataOps Engineer to join our team. The ideal candidate will provide application support for data operations, focusing on tools and platforms like Azure Data Factory, Purview, Tableau, and Snowflake. The role requires working closely with business users across USA and UK time zones, supporting ticket resolution, and ensuring seamless handovers between shifts.
What you’ll bring
- 2 years of experience in application support or DataOps roles.
- Hands-on experience with Azure Data Factory, Purview, Tableau, and Snowflake.
- Familiarity with ticketing tools and ITIL practices for incident management.
- Strong problem-solving and analytical skills.
- Ability to work in overlapping USA and UK time zones.
- Proficiency in SQL and scripting languages (Python preferred).
Responsibilities
- Monitor, troubleshoot, and resolve tickets assigned to Azure Data Factory, Purview, Tableau, and Snowflake assignment groups.
- Address technical issues promptly to minimize downtime and ensure data availability.
- Provide root cause analysis and recommendations for recurring issues.
- Ensure smooth handover of ongoing tickets and updates to the next shift team.
About us
We’re a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.
#LI-AS1
Championing diversity, equity, and inclusion
Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team.
How we look after you
We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.
We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure DataOps Engineering ITIL Python Snowflake SQL Tableau
Perks/benefits: Equity / stock options Flex hours Health care
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