Senior Data Engineer at Version 1 Cedar

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

13 Sep, 26

Salary

0.0

Posted On

15 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Databricks, Python, Java, Spark, SQL, AWS, Azure, PostgreSQL, Aurora, ETL/ELT, Data Modeling, CI/CD, Distributed Systems, Streaming Data Pipelines, Batch Data Pipelines, Data Architecture

Industry

IT Services and IT Consulting

Description

Company Description Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer reflecting how our employees are at the very heart of what we do: UK & Ireland's premier AWS, Microsoft & Oracle partner 3300+ strong, €350/£300m revenue business 10+ years as a Great Place to Work in Ireland & UK Best Workplace for Women in the UK & Ireland by GPTW Best Workplace for Wellbeing in the UK by GPTW We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you. Job Description The Role We are looking for a Senior Data Engineer to join Version 1’s Data & AI Practice, working on modern data platforms for enterprise and regulated clients. You will be a hands‑on engineer with strong production experience, contributing to the design, build, and operation of scalable, cloud‑native data solutions that enable analytics and AI at scale. This is a delivery‑focused role for an experienced engineer who enjoys solving complex data challenges, takes ownership of outcomes, and applies strong engineering discipline in real‑world environments. What You’ll Be Doing · Designing, building, and operating reliable data pipelines using modern ETL/ELT approaches · Engineering cloud‑native data platforms, primarily on AWS (with Azure exposure where required) · Working with technologies such as Databricks, PostgreSQL, Aurora, and distributed processing frameworks · Ensuring solutions are production‑ready: secure, tested, observable, and cost‑efficient · Optimising data performance, reliability, and data quality in live environments · Collaborating with analysts, data scientists, AI engineers, and platform teams · Mentoring junior engineers and contributing to shared standards and accelerators Qualifications What You’ll Bring · 5+ years’ experience in hands‑on data engineering roles · Strong data engineering skills using Databricks · Strong programming skills in Python, Java, Spark and advanced SQL · Proven experience building and running data pipelines in production · Solid understanding of distributed systems and scalable data architectures · Hands‑on experience with AWS data services and cloud‑native platforms · Experience with Databricks or similar distributed data processing platforms Solid understanding of data modeling and data quality approaches Experience building and operating both batch and streaming data pipelines · Familiarity with CI/CD, monitoring, and operational support of data platforms Contribute to technical design discussions and help improve system performance, scalability, and reliability Support production systems by troubleshooting issues and implementing improvement. Nice to Have · Experience enabling ML, AI, or GenAI workloads through strong data foundations · Exposure to modern BI and analytics tooling · Experience working in regulated or security‑conscious environments · Consulting or client‑facing delivery experience Additional Information Why Version 1? At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform. Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes. And many more exciting benefits… drop us a note to find out more. Version 1 is an equal opportunities employer. We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring. We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact [email protected] at Version 1. We will consider all requests carefully, respectfully and confidentially. Video links: https://www.youtube.com/watch?v=F_d3ELTH5zo Department: Digital, Data and Cloud

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Design, build, and operate scalable cloud-native data pipelines and platforms primarily on AWS to enable analytics and AI. Collaborate with cross-functional teams to optimize data performance and mentor junior engineers on engineering standards.