Data Engineer

Data Engineer

Wakefield Full-Time 36000 - 60000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us as a Data Engineer to design and develop ETL processes and data integration solutions.
  • Company: We're a leading tech services company supporting global financial institutions since 2001.
  • Benefits: Enjoy a collaborative culture, flexible work options, and opportunities for professional growth.
  • Why this job: Make an impact on everyday transactions while working in a dynamic, innovative environment.
  • Qualifications: Hands-on experience with ETL tools and cloud-based integrations is essential; 1+ year with Informatica IICS preferred.
  • Other info: Ideal for those who thrive under pressure and enjoy tackling diverse challenges.

The predicted salary is between 36000 - 60000 Β£ per year.

About Us

We are an innovative technology services company, since 2001 we have been providing mission critical systems and their support for some of the leading financial institutions around the world. The solutions provided by us are part of millions of people’s everyday life in making payments or online transactions. Our global team are from diverse backgrounds and experiences in a collaborative and open culture to deliver outstanding services for our customers. Our team enjoys this thought provoking and rewarding environment. Our customers tell us that our team are some of the best they have worked with – not only because of their professional ability, but also their behaviour and attitude. As part of the Pinion team, you will develop those core skills while delivering critical technology solutions for a variety of customers.

About the Role

  • Design and development with Informatica IICS or PowerCenter in either/both Data Warehousing and Enterprise Integration projects.
  • Development of ETL [Extract Transform & Load] by utilizing relevant technologies (e.g. Informatica, MS Azure Data Factory, Azure Data Lake, etc.).
  • Develop Data Ingestion and Integration from data sources to Azure Data Warehouse, based on Data Pipeline Framework(s) established by our Data Analytics and Information Technology teams as well as technical requirement specifications developed across all departments.
  • Develop all necessary ad-hoc Data Ingestion/Integration processes into operational procedures for our Production Environment by adhering to agile, reliable, secure, high-performing, efficient, and effective methodology.
  • Build and deploy Data Gathering/Integration solutions for periodic ingestion of field-generated or subject expert-generated content into a centralized reporting environment.
  • Work with various business teams and departments to increase efficiency and accuracy of business processes through business process automation.
  • Performance Tuning and Optimization of all Data Ingestion and Data Integration processes, including Data Platforms and databases.
  • Support Data Analyst, Information Technology, and Business Stakeholder(s) in analyzing & resolving any data issues, as required.
  • Develop business process automation solutions running mostly on hosted platforms (such as Azure or AWS).
  • Demonstrate understanding of tools for building business process automation solutions to securely connect to multiple hosted platforms (e.g. PowerApps, Flow, SharePoint, Nintex, and K2).
  • Additional duties may be assigned, as needed.

About You

  • Hands-on experience with ETL tools (e.g. Informatica, BODS, Data Stage, Azure data Factory, Pipeline work, etc.).
  • Demonstrated knowledge in data modeling (e.g. keys, logical, subject areas, referential integrity, etc.).
  • 1+ year experience specifically using Informatica IICS cloud-based tools.
  • Experience with Cloud-based integrations.
  • Exposure to the Financial Services industry.
  • Demonstrated ability to exercise independent judgment when dealing with competing priorities & initiatives; this involves keeping all stakeholders informed of issues, progress, status, and resolution.
  • Demonstrated ability to thrive in a fast-paced environment with minimal direction, extreme pressure, and tight deadlines.
  • Proven success in simultaneously handling strategic and transactional responsibilities, especially in a small-team environment.
  • Excellent communication skills (written and verbal) in English.

Data Engineer employer: Pinion

As a leading technology services company, we pride ourselves on fostering a collaborative and inclusive work culture that empowers our employees to thrive. Our commitment to professional development ensures that as a Data Engineer, you will have ample opportunities to enhance your skills while contributing to impactful projects for top financial institutions. Located in a vibrant area, we offer a stimulating environment where innovation meets meaningful work, making us an exceptional employer for those seeking a rewarding career.
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Contact Detail:

Pinion Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Data Engineer

✨Tip Number 1

Familiarise yourself with the specific ETL tools mentioned in the job description, especially Informatica IICS and Azure Data Factory. Consider taking online courses or tutorials to enhance your skills and demonstrate your commitment to mastering these technologies.

✨Tip Number 2

Network with professionals in the financial services industry, particularly those who work with data engineering. Attend relevant meetups or webinars to gain insights and potentially get referrals that could help you land the job.

✨Tip Number 3

Prepare to discuss your experience with data modelling and business process automation during interviews. Be ready to provide examples of how you've successfully implemented these processes in previous roles, as this will showcase your practical knowledge.

✨Tip Number 4

Research the company culture at Pinion and be prepared to articulate how your values align with theirs. Highlight your ability to thrive in fast-paced environments and your collaborative spirit, as these traits are essential for success in their team.

We think you need these skills to ace Data Engineer

ETL Development
Informatica IICS
Data Warehousing
Azure Data Factory
Data Lake Management
Data Pipeline Frameworks
Data Integration
Performance Tuning
Data Modelling
Business Process Automation
Cloud-based Integrations
Communication Skills
Problem-Solving Skills
Agile Methodologies
Stakeholder Management

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights relevant experience with ETL tools, data modelling, and cloud-based integrations. Use specific examples from your past roles that demonstrate your ability to handle data ingestion and integration tasks.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your hands-on experience with Informatica IICS and how it aligns with the company's mission of providing critical technology solutions.

Showcase Your Problem-Solving Skills: Provide examples in your application that illustrate your ability to resolve data issues and improve business processes. Highlight any experience you have with performance tuning and optimisation of data processes.

Highlight Communication Skills: Since excellent communication is key for this role, ensure your application reflects your written and verbal communication skills. You might want to include instances where you've successfully collaborated with various teams or stakeholders.

How to prepare for a job interview at Pinion

✨Showcase Your Technical Skills

Be prepared to discuss your hands-on experience with ETL tools like Informatica and Azure Data Factory. Highlight specific projects where you've successfully implemented data ingestion and integration processes, as this will demonstrate your technical proficiency.

✨Understand the Financial Services Context

Since the company operates within the financial services industry, it’s crucial to understand the unique challenges and requirements of this sector. Familiarise yourself with common data issues faced by financial institutions and be ready to discuss how you can address them.

✨Emphasise Collaboration and Communication

Given the collaborative culture of the company, be sure to highlight your ability to work effectively with various business teams. Share examples of how you've communicated complex data concepts to non-technical stakeholders, showcasing your excellent communication skills.

✨Demonstrate Problem-Solving Abilities

Prepare to discuss situations where you've had to exercise independent judgment under pressure. Share specific examples of how you've resolved data issues or optimised processes, as this will illustrate your ability to thrive in a fast-paced environment.

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