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- Tasks: Join our Managed Services team as a Senior Data Engineer, implementing data solutions and visualisation.
- Company: Version 1 is a trusted tech partner with over 28 years of experience, working with global brands.
- Benefits: Enjoy flexible working, profit sharing, wellness initiatives, and generous holiday allowances.
- Why this job: Work with cutting-edge technologies in a supportive environment that values personal growth and teamwork.
- Qualifications: Experience with Microsoft BI Stack, SQL, Azure Data Factory, and strong problem-solving skills required.
- Other info: Only SC Cleared candidates will be considered for this role.
The predicted salary is between 48000 - 84000 £ per year.
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Company Description
Version 1 has celebrated over 28 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Our expertise enables our customers to navigate the rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services.
Company Description
Version 1 has celebrated over 28 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Our expertise enables our customers to navigate the rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants 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 Version 1 And 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
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.
You will work within a blended team of junior engineers right up to Principal Architects and have plenty of opportunities to develop skills across the Microsoft stack. Within this team we actively encourage knowledge sharing and regularly identify gaps for training and personal progression. We currently support and implement projects for many clients across several industry sectors. This gives the opportunity to gain exposure and “hands on” experience to different technologies and platforms from on-premise solutions to Cloud.
Skills
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.
- Ability to work under pressure, handle complex change and prioritize key activities.
- Implement full lifecycle activities including, but not limited to detailed analysis, design, development, test, user acceptance test support and production implementation.
- Adhering to coding standards and best practices.
- ITIL knowledge and the ability to understand and demonstrate service management best practices.
- Some knowledge of Amazon AWS, Attunity replicate would be seen as beneficial.
Please note: We are only looking for SC Cleared candidates for this role.
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.
Ekta Bahl – Talent Acquisition Capability Partner
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Consulting
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Industries
IT Services and IT Consulting
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Senior Data Engineer (SC Cleared) employer: Version 1
Contact Detail:
Version 1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (SC Cleared)
✨Tip Number 1
Make sure to highlight your SC clearance status in any conversations or networking opportunities. This is a crucial requirement for the role, and mentioning it upfront can set you apart from other candidates.
✨Tip Number 2
Familiarise yourself with the Microsoft BI Stack and Azure services mentioned in the job description. Being able to discuss specific projects or experiences related to these technologies during interviews will demonstrate your expertise and enthusiasm.
✨Tip Number 3
Engage with current employees on platforms like LinkedIn. Ask them about their experiences at Version 1 and the team culture. This can provide valuable insights and help you tailor your approach when applying.
✨Tip Number 4
Prepare to discuss your problem-solving skills and how you've handled complex data issues in the past. The ability to articulate your thought process and solutions will be key in showcasing your fit for the role.
We think you need these skills to ace Senior Data Engineer (SC Cleared)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with the Microsoft BI Stack, particularly SQL Server, SSIS, SSAS, SSRS, and Power BI. Use specific examples of projects where you've implemented data solutions to demonstrate your skills.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your values align with those of Version 1 and provide examples of how you've successfully worked in collaborative environments.
Showcase Relevant Skills: Clearly outline your technical abilities, especially in ETL solutions using Azure Data Factory and your SQL skills. Include any experience with disaster recovery methods and capacity planning, as these are crucial for the role.
Highlight Continuous Learning: Mention any recent certifications or training you've completed, especially related to AWS, Microsoft, or Oracle. This shows your commitment to professional growth and aligns with Version 1's focus on employee development.
How to prepare for a job interview at Version 1
✨Showcase Your Technical Skills
Make sure to highlight your experience with the Microsoft BI Stack, especially SQL Server, SSIS, SSAS, SSRS, and Power BI. Be prepared to discuss specific projects where you've implemented data solutions and how you tackled complex issues.
✨Demonstrate Problem-Solving Abilities
Version 1 values candidates who can problem-solve effectively. Prepare examples of past challenges you've faced in data engineering and how you resolved them, particularly in high-pressure situations.
✨Emphasise Collaboration and Communication
As a Senior Data Engineer, you'll be working within a team. Highlight your ability to collaborate with junior engineers and communicate technical issues to non-technical stakeholders. Share experiences that showcase your teamwork skills.
✨Understand the Company Culture
Familiarise yourself with Version 1's core values and their commitment to employee wellbeing and professional growth. Be ready to discuss how your personal values align with theirs and how you can contribute to their positive work environment.
