Senior Engineer, Data Engineering

Senior Engineer, Data Engineering

Full-Time 60000 - 70000 € / year (est.) Home office (partial)
Sellick Partnership

At a Glance

  • Tasks: Design and build a modern Azure-based data platform for impactful decision making.
  • Company: Join a well-established business investing in data capabilities.
  • Benefits: Competitive salary, up to 10% bonus, hybrid work model.
  • Other info: Collaborative environment with opportunities for professional growth.
  • Why this job: Make a real impact by shaping the future of data-driven decisions.
  • Qualifications: Strong experience in data engineering within a Microsoft ecosystem.

The predicted salary is between 60000 - 70000 € per year.

Salary: £60,000 - £70,000 Up to 10% Bonus

Location: Greater Manchester (Hybrid - 3 days in the office / 2 days at home)

Permanent

Sellick Partnership are proud to be partnered with a well-established business who are investing in professionalising its data capability. They are looking for a Data Engineer to join them to help design and build the foundations of a modern data platform that directly supports board-level decision making.

The technology stack is Microsoft-led, with an Azure environment, Azure Data Lake, Power BI, and Power Apps, alongside a bespoke operational system and an ERP that need to be integrated.

Key Responsibilities:

  • Design and build a modern Azure-based data platform, including:
    • Azure Data Lake
    • Data ingestion pipelines
    • Data modelling and transformation
  • Automate ingestion of data from high-volume transactional sources (1,000+ transactions per hour)
  • Establish robust data flows that support financial reporting and cash flow analysis
  • Create and maintain data models and data cubes for reporting and analytics
  • Collaborate with the Data Analyst to ensure data is fit for reporting and insight
  • Support governance, data quality, and best practices as the function matures

Requirements:

  • Strong experience in data engineering within a Microsoft ecosystem with hands-on experience with:
    • Azure Data Lake
    • Azure data pipelines / ETL
    • SQL and relational data modelling
    • Comfortable working with high-volume, low-value transaction data
    • Experience integrating multiple systems into a central data platform

Please note, our advertisements use years' experience, hourly rates, and salary levels purely as a guide and we assess applications based on the experience and skills evidenced on the CV.

Senior Engineer, Data Engineering employer: Sellick Partnership

Join a forward-thinking company in Greater Manchester that prioritises professional development and innovation in data engineering. With a hybrid work model, competitive salary, and a strong focus on employee growth, this organisation fosters a collaborative culture where your contributions directly impact strategic decision-making. Embrace the opportunity to work with cutting-edge technology in a supportive environment that values your expertise and encourages continuous learning.

Sellick Partnership

Contact Detail:

Sellick Partnership Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Engineer, Data Engineering

Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure. A friendly chat can lead to insider info about job openings that aren't even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure Data Lake and data pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've tackled high-volume transactional data and integrated systems. We want to see your problem-solving skills in action!

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace Senior Engineer, Data Engineering

Azure Data Lake
Data Ingestion Pipelines
Data Modelling
Data Transformation
ETL (Extract, Transform, Load)
SQL
Relational Data Modelling

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Azure Data Lake and data pipelines. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background in data engineering makes you a perfect fit for our team at StudySmarter.

Showcase Your Technical Skills:Be specific about your hands-on experience with SQL and relational data modelling. We love seeing concrete examples of how you've tackled high-volume transactional data in your previous roles.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!

How to prepare for a job interview at Sellick Partnership

Know Your Tech Stack

Make sure you’re well-versed in the Microsoft-led technology stack mentioned in the job description. Brush up on Azure Data Lake, data pipelines, and SQL. Being able to discuss your hands-on experience with these tools will show that you’re ready to hit the ground running.

Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled challenges in data engineering, especially with high-volume transactional data. Think about specific projects where you designed data ingestion pipelines or automated processes, and be ready to explain your thought process.

Collaboration is Key

Since the role involves working closely with Data Analysts, be prepared to discuss how you’ve collaborated in the past. Highlight any experiences where you ensured data quality and governance, as this will demonstrate your ability to work as part of a team.

Ask Insightful Questions

At the end of the interview, don’t forget to ask questions! Inquire about the company’s vision for their data platform or how they measure success in data governance. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.