Data Engineering Lead at Version 1 Cedar

Mumbai City, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

04 Aug, 26

Salary

0.0

Posted On

06 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Java, SQL, AWS, Databricks, Apache Spark, dbt, Airflow, Data Modelling, CI/CD, Batch Processing, Streaming Pipelines, Technical Leadership, Data Governance, Postgres, SQL Server

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 We are looking for a Data Tech Lead to join our Data Engineering practice, delivering modern data platforms for enterprise and regulated clients. This is a hands‑on leadership role for a technically strong engineer who can lead design and delivery, act as a trusted technical authority, and mentor engineers while maintaining strong engineering discipline in real‑world environments. This is a delivery‑focused role for an experienced engineer and Tech Lead who enjoys solving complex data challenges, takes ownership of outcomes, and applies strong engineering discipline in real‑world environments. Leading end‑to‑end delivery of data engineering workstreams; shaping solution approach, setting technical direction, and ensuring outcomes are delivered to a high standard Designing and building scalable batch and streaming pipelines and operating production systems Providing technical governance and oversight: design reviews, implementation guidance, risk/issue escalation, and delivery assurance Building strong stakeholder relationships and operating as a credible client‑facing technical lead Coaching and mentoring engineers, supporting learning plans, and helping develop capability standards and accelerators Partnering with business and technology stakeholders to build and enhance reliable, scalable data platforms Developing high‑throughput, low‑latency data processing systems Working within the Databricks and Apache Spark ecosystem to support large‑scale data workloads Building and maintaining cloud‑native data solutions on AWS Using dbt for data transformation, modelling, testing, and documentation Orchestrating data workflows using Airflow or similar orchestration tools Writing clean, efficient, and well‑tested code following software engineering best practices Collaborating closely with product, analytics, and platform teams Supporting production systems by troubleshooting issues and implementing continuous improvements Ensuring solutions are production‑ready: secure, tested, observable, and cost‑efficient Optimising data performance, reliability, and data quality in live environments Qualifications 8-10 years’ experience in hands‑on data engineering, including technical leadership on production platforms Experience providing technical governance (design reviews, standards, delivery assurance) and supporting delivery at pace Comfortable contributing to estimation and commercial discussions and ensuring solutions are feasible and deliverable Proven ability to mentor and help develop engineers through coaching, feedback, and structured development support Strong hands‑on coding skills in Python, Java, or similar languages, with strong SQL capability Proven experience building and operating batch and streaming pipelines in production Experience with AWS, Databricks / Spark, and modern data architectures Hands‑on experience using dbt for transformations and Airflow (or equivalent) for orchestration Solid understanding of data modelling, data quality, and production data systems Experience working with relational databases such as Postgres or SQL Server Familiarity with CI/CD pipelines, testing frameworks, and monitoring / observability tooling 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 [recruiter email address] at Version 1. We will consider all requests carefully, respectfully and confidentially. 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 including those shaped by disability and neurodiversity. 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 your recruiter 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

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Responsibilities

Lead the design and delivery of scalable batch and streaming data pipelines while providing technical governance and oversight. Mentor engineers and partner with stakeholders to build reliable, cloud-native data platforms within the Databricks and Spark ecosystem.