At a Glance
- Tasks: Design and maintain large-scale data pipelines using Microsoft Fabric and Databricks.
- Company: Join Equiniti, a leading global tech provider with a collaborative culture.
- Benefits: Enjoy competitive salary, pension plan, health perks, and flexible benefits.
- Other info: Great career growth opportunities and commitment to equality for all applicants.
- Why this job: Make an impact by enabling data-driven decisions in a dynamic environment.
- Qualifications: Experience in data engineering and proficiency in Microsoft Fabric and Databricks required.
The predicted salary is between 28800 - 43200 £ per year.
Equiniti is a leading international provider of shareholder, pension, remediation, and credit technology, supporting 37 million people in 120 countries. EQ's vision is to be the leading global share registrar, offering complementary services to its client base. We are TRUSTED to deliver on our commitments, COMMERCIAL in building long‐term value, COLLABORATIVE in our approach, and we IMPROVE by continually enhancing our skills and services.
Role Summary
We are looking for a skilled Data Engineer to join our Data team. As a Data Engineer, you will be responsible for designing, building, and maintaining large‐scale data pipelines using Microsoft Fabric and Databricks. You will work closely with our Product and Engineering teams to ensure data flow and integration across our data ecosystem, improving data infrastructure, data quality, and enabling data‐driven decision‐making across the organization.
Core Duties and Responsibilities
- Design, build, and maintain large‐scale data pipelines using Microsoft Fabric and Databricks
- Develop and implement data architectures that meet business requirements, ensuring data quality, security, and compliance
- Collaborate with Product & Engineering teams to integrate data pipelines with machine learning models and analytics tools
- Optimize data processing and storage solutions for performance, scalability, and cost‐effectiveness
- Develop and maintain data quality checks and monitoring tools to ensure data accuracy and integrity
- Work with cross‐functional teams to identify and prioritize data engineering projects and initiatives
- Stay up‐to‐date with industry trends and emerging technologies in data engineering and cloud computing
Essential Skills & Capabilities
- Good experience in data engineering, focusing on cloud‐based data pipelines and architectures
- Strong expertise in Microsoft Fabric and Databricks, including data pipeline development, data warehousing, and data lake management
- Proficiency in Python, SQL, Scala, or Java
- Experience with data processing frameworks such as Apache Spark, Apache Beam, or Azure Data Factory
- Strong understanding of data architecture principles, data modelling, and data governance
- Experience with cloud‐based data platforms, including Azure and or AWS
- Strong collaboration and communication skills, with the ability to work effectively with cross‐functional teams
Desirable
- Experience with Azure Synapse Analytics, Azure Data Lake Storage, or other Azure data services
- Experience with agile development methodologies and version control systems such as Git
- Certification in Microsoft Azure, Databricks, or other relevant technologies
What We Offer
- Equiniti Pension Plan (matches up to 10%)
- All Employee Long‐Term Incentive Plan (LTIP)
- Health and Well‐Being: Employee Assistance Programme, life assurance cover at 4× salary, and optional enhanced cover
- Employee discounts through EQ Wins Platform
- Flexible benefits flex plan (gadgets, travel insurance, holiday trading, etc.)
- Time Off: 28 days holiday plus bank holidays, 2 volunteer days
- Recognition: Equiniti ICON award vouchers
- Learning & Development: LinkedIn Learning investment
We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. Please note any offer of employment is subject to satisfactory pre‐employment screening checks, including 5‐year activity & GAP verification, DBS or Access NI, Credit, Sanctions & CIFAS checks.
Data Engineer in England employer: Equiniti
Equiniti is an excellent employer that champions a dynamic work culture, offering a hybrid working model that promotes flexibility and collaboration with global teams. Employees benefit from extensive professional development opportunities, allowing for personal growth while contributing to impactful marketing initiatives in the heart of London. With a focus on innovation and customer experience, Equiniti provides a rewarding environment for those looking to make a significant impact in the B2B marketing landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Equiniti. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data engineering projects. This is your chance to demonstrate your expertise in Microsoft Fabric and Databricks.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. Think about how you can relate your experience with cloud-based data pipelines to what Equiniti is looking for.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly.
We think you need these skills to ace Data Engineer in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Microsoft Fabric, Databricks, and any relevant data engineering projects. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:Don’t forget to showcase your technical skills in Python, SQL, or any other relevant languages. Mention specific projects where you've used these skills, especially if they relate to cloud-based data solutions. We’re keen to see your expertise!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Let’s get started on this journey together!
How to prepare for a job interview at Equiniti
✨Know Your Tech Stack
Make sure you’re well-versed in Microsoft Fabric and Databricks. Brush up on your knowledge of data pipelines, data warehousing, and cloud-based architectures. Being able to discuss specific projects where you've used these technologies will show you're the right fit for the role.
✨Showcase Your Collaboration Skills
Since the role involves working closely with Product and Engineering teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any cross-functional projects you've been part of and how you contributed to their success.
✨Prepare for Technical Questions
Expect to face technical questions related to data processing frameworks like Apache Spark or Azure Data Factory. Practise explaining complex concepts in simple terms, as this will demonstrate your understanding and communication skills.
✨Stay Updated on Industry Trends
Research the latest trends in data engineering and cloud computing. Being able to discuss emerging technologies or methodologies shows your passion for the field and your commitment to continuous improvement, which aligns with Equiniti's values.
