Data Engineer Consultant Senior

Version 1; Bengaluru; Hybrid; INR 2,800,000 - 6,000,000; Full time

Benefits offered by this job

Quarterly Profit Share

Career Progression & Mentorship

Flexible/remote working

Private Healthcare Cover

Educational assistance

Annual Excellence Awards

Job summary

Version 1 is seeking a Senior Data Engineer Consultant to design, build and support modern data and analytics solutions for clients. You will translate business needs into secure, scalable Microsoft Fabric and Azure solutions, taking ownership of substantial engineering workstreams and mentoring colleagues.

You will work with solution architects and multidisciplinary teams, delivering end-to-end data pipelines, data models, and governance controls while promoting best engineering practices in an

Qualifications

• Demonstrable hands-on experience delivering data engineering solutions using Microsoft Fabric.
• Strong SQL development, troubleshooting and performance optimisation skills.
• Practical experience with Python or PySpark and distributed data processing concepts.
• Experience building and operating ETL/ELT pipelines and integrating cloud/on-premise data sources.
• Experience with Fabric lakehouse/warehouse patterns and Power BI semantic models.
• Experience with data warehouses, data lakes and Azure data services (Azure Data Lake Storage, Data Factory).
• Knowledge of dimensional modelling and data modelling trade-offs.
• Experience with Git, PRs, CI/CD and automated deployment practices.
• Security, governance, lineage, metadata, retention and privacy-aware design.
• Observability, logging, alerting, production support, and agile delivery experience.
• Strong written and verbal communication and stakeholder engagement.

Responsibilities

• Translate business requirements into technical designs and delivery estimates.
• Design, build and support Microsoft Fabric solutions with lakehouse patterns.
• Develop robust ingestion and integration pipelines using SQL, Python or PySpark.
• Design dimensional models and Power BI semantic models for analytics.
• Implement data quality, validation and schema-change controls.
• Lead design sessions and contribute to architectural decisions.
• Apply security, governance and access controls across data platforms.
• Use source control, CI/CD, and automated testing in deployments.
• Create documentation for data flows, architectures and runbooks.
• Mentor junior engineers and promote reusable patterns.

Skills

SQL development

Python / PySpark

ETL/ELT pipelines

Git / CI-CD

Azure data services

Power BI semantic models

Security & governance

Data modeling

Analytical thinking

Communication with stakeholders

Tools

Power BI

Azure Data Factory

Fabric lakehouse/warehouse

OneLake concepts

Git

Job 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 experts enable 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.

• 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 an award‑winning employer reflecting how our employees are at the very heart of what we do: 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

5+ Years as a Data Engineer Consultant Senior, you will design, build and support modern data and analytics solutions for clients. Working with solution architects, principal consultants and multidisciplinary delivery teams. You will translate business needs into secure, scalable, maintainable and supportable Microsoft Fabric and Azure solutions. You will take ownership of substantial engineering workstreams from design through deployment and production support, while mentoring colleagues and promoting good engineering practice.

Key Responsibilities

• Translate business requirements into technical designs, delivery estimates, implementation tasks and acceptance criteria.
• Design, build and support Microsoft Fabric solutions using appropriate lakehouse, warehouse, orchestration and semantic‑modelling patterns.
• Develop robust ingestion, ETL/ELT and integration pipelines using SQL, Python or PySpark as appropriate.
• Design and maintain dimensional and analytical data models, including star schemas, facts, dimensions and Power BI semantic models.
• Implement automated data‑quality, validation, reconciliation and schema‑change controls.
• Contribute to architecture decisions and lead detailed design sessions for assigned components or workstreams.
• Apply security and governance controls including least privilege, classification, lineage, metadata, retention and auditability.
• Use source control, peer review, automated testing, CI/CD and repeatable deployment practices.
• Create and maintain technical documentation including data flows, architecture views, configuration, support procedures and runbooks.
• Estimate and plan engineering work, manage dependencies and communicate delivery risks within Agile teams.
• Support testing, release, monitoring, troubleshooting, incident investigation and continuous improvement in production.
• Mentor junior engineers, review technical work and promote reusable patterns and engineering standards.
• Communicate solution options, progress, risks and recommendations to technical and non‑technical stakeholders.

Qualifications

Essential

• Demonstrable hands‑on experience delivering data engineering solutions using Microsoft Fabric.
• Strong SQL development, troubleshooting and performance‑optimisation skills.
• Practical experience with Python or PySpark, notebooks and distributed data‑processing concepts.
• Experience building and operating ETL/ELT pipelines and integrating cloud, on‑premises or third‑party data sources.
• Experience with Fabric lakehouse and warehouse patterns, orchestration, OneLake concepts and Power BI semantic models, including Direct Lake where appropriate.
• Experience with data warehouses, data lakes and Azure data services such as Azure Data Lake Storage and Azure Data Factory.
• Strong knowledge of dimensional modelling, analytical structures and data‑modelling trade‑offs.
• Experience implementing unit, integration, reconciliation and regression testing for data solutions.
• Experience with Git, pull requests, source control, CI/CD and automated deployment practices.
• Knowledge of security, data governance, lineage, metadata, retention and privacy‑aware design.
• Experience with observability, logging, alerting, failure recovery and production support.
• Experience owning a substantial technical workstream and working effectively in Agile delivery environments.
• Strong written and verbal communication, stakeholder engagement and technical documentation skills.
• Experience mentoring colleagues and conducting constructive design or code reviews.

Desirable

• Microsoft Fabric certification, or actively working towards certification.
• Experience with Microsoft Entra ID, managed identities, Key Vault, Azure Monitor or Log Analytics.
• Experience with infrastructure as code, reusable deployment templates or environment‑management automation.
• Exposure to data science, advanced analytics, AI or machine‑learning delivery.
• Experience using AI‑assisted development tools such as GitHub Copilot and/or Claude in line with organisational controls.
• Experience in a client‑facing consultancy or delivery environment.

Success Criteria

• Independently delivers complex components and workstreams to an agreed level of quality.
• Identifies technical risks early and escalates architectural decisions with clear options and evidence.
• Produces solutions that are testable, observable, secure, maintainable and ready for operational support.
• Raises team capability through mentoring, review and practical engineering leadership.

Additional Information

Why Version 1?

• 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 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