Data Engineer - Managed service
Remote, United Kingdom, United Kingdom
Version 1
Transform your business through digital technology solutions with IT Service Provider, Version 1. Modernise your IT with our Cloud-first services & ERP solutions.Company Description
We pledge "to prove IT can make a real difference to our customer's businesses". We work hard to ensure we understand what our customers need from their technology solutions and then we deliver.
We are an award-winning company who provide world class customer service; we think big and we hire great people. Version 1 are more than just another IT services company - we are leaders in implementing and supporting Oracle, Microsoft and AWS technologies.
- 6th Best Large Workplace in the UK
- Best place to work in Ireland #GPTW2022
- 10th place in Glassdoor Top 50 UK companies
- UK & Ireland’s premier Oracle, Microsoft & AWS partner
- Market leader in Oracle ERP and Cloud Applications
- Consulting, implementation and support services
- 3000 strong,€255m/ £220m revenue business
Job Description
Version 1 is looking for an experienced data engineer join its Managed Services team. The ideal candidate will have a proven track record in implementing DWH/Data Visualisation solutions, along with data ingestion and transformation pipelines for large scale operations. We are looking for an individual who enjoys a fast pace, can prioritise workload, and can work under their own initiative. You will have solid background in supporting and implementing data solutions.
This is a great opportunity for the successful candidate to progress their existing data skills working with cutting edge technologies, in addition to the following:
- The technical ability to problem solve complex issues.
- The flexibility to move between clients, projects, technologies.
- A collaborative team member.
- Develops understanding of clients business, applications and users.
- Effectively communicate technical issues to business users. Ability to identify, recommend and implement continuous service improvements.
- Client facing skills.
Qualifications
- A high degree of experience across the entire Microsoft BI Stack including SQL Server, SSIS, SSAS, SSRS & Power BI.
- Being able to support, create and enhance ETL solutions using Azure Data Factory.
- Knowledge of the Azure suite of resources that can enhance BI solutions such as Azure VM’s, Azure SQL Database, Log Analytics, Logic Apps, Azure Analysis Services, Azure Data Lake, Databricks, Azure Key Vault.
- Strong SQL Skills – the applicant must be able to write performant SQL queries and stored procedures while also being able to understand and reverse engineer issues back to the source and then applying a fix.
- Design, build and reverse engineer reports in Power BI using various data sources with a demonstrated understanding of DAX and Power Query.
- Working knowledge of other BI Tools including Qlik, Tableau & AWS Quicksight.
- Some knowledge of other database engines such as Oracle, MySQL.
- Experience with disaster recovery methods and capacity planning for both on-premise and cloud-based solutions.
- Accurately estimate pieces of work both small and large and successfully execute on these estimations.
- Ability to perform some DBA tasks such as performance tuning, optimisation sizing, backups, upgrading, migrating etc.
- Knowledge of source control solutions such as Git and DevOps.
- ITIL knowledge and the ability to understand and demonstrate service management best practices.
Additional Information
Before you apply, here are some of the benefits we offer:
- Quarterly Profit SharePrivate medical insurance
- Flexible working policy & Remote Working
- Incentives for accreditations and educational assistance for courses relevant to your role.
- Employee recognition in the form of Excellence Awards and V1Ps which your peers award.
- Pathways Career Development Quarterly
- Engagement is incredibly important! Our local teams drive our engagement events!
- and much more...
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Consulting Databricks DevOps ETL Git ITIL MySQL Oracle Pipelines Power BI Qlik QuickSight SQL SSIS Tableau
Perks/benefits: Career development Flex hours Team events
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