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- Tasks: Design and optimise scalable data pipelines using cutting-edge technologies like Databricks and Apache Spark.
- Company: Join a forward-thinking organisation leading the way in data-driven platforms.
- Benefits: Enjoy a competitive salary, bonus scheme, shares option, and generous holiday allowance.
- Other info: Collaborative office culture with social events and clear progression opportunities.
- Why this job: Make a real impact by shaping a high-performance data platform with modern cloud technologies.
- Qualifications: Strong experience with Databricks, Apache Spark, and proficiency in Python and SQL.
The predicted salary is between 70000 - 70000 £ per year.
Salary up to £70,000 + discretionary bonus
Hybrid working model with collaborative office environment
Work with Databricks, Spark Structured Streaming, Kafka (MSK), and AWS
Due to continued growth, we're seeking a skilled Data Engineer to join an established organisation at the forefront of building modern, data-driven platforms. The business is investing heavily in its data ecosystem and is focused on delivering real-time insights and trusted analytics that support teams across product, finance, marketing, and compliance.
This is an excellent opportunity to work with modern cloud data technologies and play a key role in shaping a scalable, secure, and high-performance data platform.
WHAT WILL YOU BE DOING?
As a Data Engineer, you will design, build, and optimise scalable data pipelines within a Databricks Lakehouse environment. You'll work with both streaming and batch data pipelines using technologies such as Apache Spark Structured Streaming, Delta Live Tables, and Kafka, ensuring data flows efficiently and reliably across the organisation.
Working closely with BI, product, and engineering teams, you will help deliver high-quality, governed data that supports analytics, reporting, and operational decision-making. You'll also play a key role in enabling business intelligence through high-performance data models and integrations with reporting tools.
You'll monitor and optimise pipeline performance, implement CI/CD processes for data workflows, and maintain strong governance and security standards across the data platform. Documentation, observability, and cost optimisation will also form part of your responsibilities as you contribute to the ongoing development of the organisation's data ecosystem.
OUR BENEFITS:
- Competitive basic salary - up to £70,000
- Discretionary bonus scheme
- Company shares option plan
- Contributory pension scheme
- Life insurance (4x basic salary)
- Health cash plan
- Generous holiday allowance including bank holidays
- Study support and clear progression opportunities
- Employee assistance programme available 24/7
- Collaborative office environment with regular social and charity events
- And Much More!!!
DATA ENGINEER - ESSENTIAL SKILLS
- Strong experience with Databricks and Apache Spark (PySpark or Scala)
- Experience building streaming and batch pipelines using Spark Structured Streaming
- Hands-on experience with Kafka (MSK) and real-time data ingestion
- Strong understanding of Delta Lake, Delta Live Tables, and Medallion Architecture
- Proficiency in Python and SQL for data engineering and analytics
TO BE CONSIDERED
Please either apply by clicking online or emailing me directly. By applying to this role you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.
KEY SKILLS
- Data Engineering
- Databricks
- Apache Spark
- PySpark
- SQL
- Python
- Kafka
- AWS
- Delta Lake
- ETL
- Data Pipelines
- CI/CD
- Big Data
Data Engineer in Manchester employer: Searchability (UK) Ltd
Contact Detail:
Searchability (UK) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Manchester
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering game. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of projects that highlight your work with Databricks, Spark, and Kafka. This will give potential employers a tangible sense of what you can do and set you apart from the crowd.
✨Ace the Interview
Prepare for those interviews by brushing up on common data engineering questions and scenarios. Be ready to discuss your experience with streaming and batch pipelines, and don’t forget to ask insightful questions about the company’s data ecosystem!
✨Apply Through Us!
We’ve got your back! Apply directly through our website to streamline your application process. Plus, we’re here to support you every step of the way, so don’t hesitate to reach out if you need any help or advice.
We think you need these skills to ace Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Databricks, Spark, and Kafka, and don’t forget to mention any relevant projects that showcase your skills in building data pipelines.
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 your skills align with our needs. Be sure to mention your experience with real-time data ingestion and analytics.
Showcase Your Technical Skills: When filling out your application, make sure to emphasise your technical skills, especially in Python, SQL, and any experience with CI/CD processes. We want to see how you can contribute to our data ecosystem!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s quick and easy, and you’ll be one step closer to joining our collaborative team!
How to prepare for a job interview at Searchability (UK) Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in Databricks, Apache Spark, and Kafka. Brush up on your knowledge of streaming and batch data pipelines, as well as Delta Lake and Medallion Architecture. Being able to discuss these technologies confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Think about times when you optimised data pipelines or improved performance. This will demonstrate your analytical thinking and ability to contribute to the team’s success.
✨Understand the Business Impact
Familiarise yourself with how data engineering supports business intelligence and decision-making. Be ready to explain how your work can lead to real-time insights and trusted analytics. This shows that you understand the bigger picture and are aligned with the company’s goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data ecosystem, team dynamics, and future projects. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you. Plus, it opens up a dialogue that can make you more memorable.