Data Warehouse Engineer

Role purpose

This is an exciting opportunity for an experienced developer of large-scale data solutions. You will join a team delivering a transformative cloud hosted data platform for a key Version 1 customer.

The ideal candidate will have a proven track record as a senior/self-starting data engineer in implementing data ingestion and transformation pipelines for large scale organisations. We are seeking someone with deep technical skills in a variety of technologies, Azure Data Factory, Azure Synapse Analytics, and SQL Server, to play an important role in developing and delivering early proofs of concept and production implementation.

You will ideally have experience in building solutions using a variety of tools, and a proven track record in delivering high quality work to tight deadlines.

Key responsibilities

· Design, develop, and maintain scalable data warehouse solutions Azure Synapse Analytics to support enterprise-level analytics and reporting needs.

· Core responsibilities include building efficient Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) pipelines using Azure Data Factory conducting thorough data validation to ensure accuracy and consistency, and providing support for Business Intelligence (BI) reporting initiatives.

· Strong proficiency in SQL is required for querying and data manipulation, along with experience in dimensional data modelling to optimize analytical performance.

· Familiarity with reporting and visualization tools such as Power BI or Tableau is essential.

· Developing scalable and re-usable frameworks for ingestion and transformation of large data sets

· Integrating the end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times

· Working with other members of the project team to support delivery of additional project components (Reporting tools, API interfaces, Search)

· Evaluating the performance and applicability of multiple tools against customer requirements

· Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints.

 

Essential experience & skills

• 3-5 years of experience in DWH implementation and should have Databricks experience.
• Direct experience of building data pipelines using Azure.
• Experience building data warehouse solutions using Azure Synapse Analytics.
• Should have experience with Spark.
• Candidates must possess hands-on experience with Structured Query Language (SQL), data quality management tools, and should be proficient in facilitating data exchange through Application Programming Interfaces (APIs).
• Strong hands-on experience with SQL Server, advanced SQL query optimization, and relational database concepts.
• Proficiency in the data concepts related to curation, archival, analysis, visualization and integrity
• Comprehensive understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching.
• Strong analytical, critical-thinking, and problem-solving skills
• Excellent communication skills and team-oriented approach
• Bachelor’s or master's degree in computer science, Business Information Systems, Mathematics, or related quantitative field

Desired Skills

• Good knowledge in at least one business intelligence solution (e.g., Power BI)
• Additional knowledge of data governance principles and metadata management practices is considered a valuable asset.

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 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