At a Glance
- Tasks: Join our team to build and maintain data pipelines for analytics and business intelligence.
- Company: Verastar is an award-winning company focused on innovation and inclusivity.
- Benefits: Enjoy hybrid working, 25+ days holiday, discounts, and wellbeing support.
- Why this job: Be a data pioneer, making impactful contributions while collaborating with diverse teams.
- Qualifications: Strong SQL skills, Python knowledge, and a passion for data are essential.
- Other info: No weekends, every bank holiday off, and fun social events await!
The predicted salary is between 36000 - 60000 £ per year.
To be a subject matter expert responsible for developing and building data engineering pipelines and services to transform/integrate data from operational systems into data analytics and business intelligence (BI) systems.
Responsibilities of the role:
- Work collaboratively with the Data Engineering team, other Data and Insights teams, cross-functional teams, and business partner teams to deliver data transformation/integration pipelines into data analytics and business intelligence (BI) systems.
- Maintain, develop, and analyse these data pipelines, seeking always to deliver high availability, simplicity of design, and quality of data.
- Contribute to the definition and development of data collection, storage and data quality to support a contemporary and responsive reporting and insights architecture in partnership with technology teams and subject matter experts, working to integrate siloed areas of the business.
- Assist in the development of data quality and governance standards, techniques, and tools, cooperating with technology teams and others to roll these out.
- Contribute to the development and maintenance of the Business Data Model which documents master and reference data attributes.
- Endeavour to deliver more than just data by considering how the request can best deliver immediate business value, offering data analysis, profiling and insight where possible.
- Respond to problems in databases, data processes, data products and services as they occur.
- Initiate actions, monitor services and identify trends to resolve problems and prevent future ones.
- Build strong, collaborative relationships with key stakeholders across disciplines, being seen as a subject matter expert and trusted advisor.
Success Measures:
- Work quickly and efficiently under tight deadlines through responsive and agile delivery approaches that focus on stakeholder need.
- Ensure application of effective data governance and security standards that empower and champion a data informed culture across the business.
- Complete work to a high standard, creating solutions that are reliable, flexible and enduring.
- Pioneering data innovation, to understand the impact of emerging trends on the organisations data tools, analysis techniques and data usage and building solutions to enable.
Experience:
- Strong technical background and proven ability in data collection, transformation and integration, evidencing understanding of data warehousing and dimensional modelling principles with good understanding of data profiling or analysis.
- Data modelling: You understand the concepts and principles of data modelling and can produce relevant data models.
- Practice in working closely with agile teams and stakeholders from discovery to implementation of outcomes, managing stakeholder expectations while seeking continuous improvement in satisfaction and increasing data literacy.
- Working knowledge of data governance would be very desirable.
- Testing: You can review requirements, specifications and define test conditions within an agile delivery function and report test activities and results.
The personal capabilities needed to excel in this role:
- Good communication to and between technical and non-technical stakeholders.
- Able to facilitate discussions within a multidisciplinary team.
- Understanding of differing perspectives.
- Passionate about data, and the insights it brings.
- Ability to act as a strong advocate for the team.
- Innovative thinking to deliver business priorities for reporting and insights.
Qualifications and other requirements:
- High degree of competency across the Microsoft SQL stack and working knowledge with Python.
- Experience in the Microsoft Azure suite advantageous.
In return for your hard work, you’ll get:
- Core benefits including pension contributions and life assurance.
- Great discounts on 100s of high street and online stores.
- 25 days holiday rising with service up to 28 days.
- Your birthday off every year.
- Option to buy up to 10 extra holidays and sell up to 5 holidays per year.
- Cycle to work and travel loans for people wanting a greener commute.
- Wellbeing support including 24/7 access to a GP, mental health support, get fit programmes and free legal and financial guidance.
The important extras:
- Hybrid working – option to work three days from home if you choose.
- Opportunities to get involved in charity fundraising and volunteering days through our giving back movement.
- Amazing on-site facilities, such as free on-site gym, free parking, subsidised café and to top it off an on-site subsidised bar for after-work drinks, quiz nights and social events.
- Full time/Permanent contract of 37.5 hours per week.
- No weekends and every bank holiday off.
What happens next:
If you’re looking for a new challenge with great benefits at an award-winning company, then Verastar is the place for you. To be part of our continued success click ‘Apply’ today to take the next step in your career.
Across The Verastar Group, we’re passionate about creating an inclusive team and celebrating our diversity. We want talented people with great skills and matching values to join our teams. All successful candidates will be subject to pre-employment checks. Please note that if you are NOT a passport holder of the country for the vacancy you might need a work permit.
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Data Engineer employer: Verastar Limited
Contact Detail:
Verastar Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the Microsoft SQL stack and Python, as these are crucial for the Data Engineer role. Consider working on personal projects or contributing to open-source projects that showcase your skills in data collection and transformation.
✨Tip Number 2
Build a portfolio that highlights your experience with data pipelines and integration. Include case studies or examples of how you've improved data quality or governance in previous roles, as this will demonstrate your ability to deliver business value.
✨Tip Number 3
Network with professionals in the data engineering field through platforms like LinkedIn. Engage in discussions about data governance and emerging trends, which can help you establish yourself as a knowledgeable candidate and may lead to referrals.
✨Tip Number 4
Prepare for potential interviews by brushing up on agile methodologies and how they apply to data engineering. Be ready to discuss how you've collaborated with cross-functional teams and managed stakeholder expectations in past projects.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly focusing on your skills in data collection, transformation, and integration. Use specific examples that demonstrate your understanding of data warehousing and dimensional modelling principles.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how it drives business insights. Mention your experience with Microsoft SQL and Python, and how you can contribute to the team’s goals. Be sure to align your values with those of the company.
Showcase Your Technical Skills: When detailing your technical skills, be specific about your proficiency with the Microsoft Azure suite and any relevant projects you've worked on. Highlight your ability to work within agile teams and your experience in data governance.
Demonstrate Problem-Solving Abilities: Include examples in your application that showcase your problem-solving skills, especially in relation to databases and data processes. Discuss how you've initiated actions to monitor services and resolve issues in past roles.
How to prepare for a job interview at Verastar Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with the Microsoft SQL stack and Python. Highlight specific projects where you've successfully implemented data pipelines or transformations, as this will demonstrate your technical expertise.
✨Understand Data Governance
Familiarise yourself with data governance principles and be ready to discuss how you have applied them in previous roles. This shows that you can contribute to maintaining high data quality and security standards.
✨Communicate Effectively
Practice explaining complex data concepts in simple terms. You’ll need to communicate with both technical and non-technical stakeholders, so demonstrating your ability to bridge that gap is crucial.
✨Demonstrate Collaborative Spirit
Prepare examples of how you've worked within agile teams and collaborated with cross-functional groups. Emphasising your ability to build strong relationships will show that you're a team player who values collaboration.