At a Glance
- 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 high-performance data solutions that drive business intelligence.
- 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
ABOUT THE CLIENT
Due to continued growth, we are 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 will 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 will also play a key role in enabling business intelligence through high-performance data models and integrations with reporting tools. You will 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 at chelsea.hackett@searchability.com. 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: LinkedIn
Join a forward-thinking organisation that prioritises innovation and employee development, offering a competitive salary of up to £70,000 along with a discretionary bonus and company shares option plan. With a collaborative office environment and a strong focus on modern data technologies, you'll have the opportunity to work on impactful projects while enjoying generous benefits, including a contributory pension scheme, health cash plan, and study support for your professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Databricks, Spark, and Kafka. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and practical scenarios. Practice explaining your thought process when designing data pipelines or optimising performance – it’s all about demonstrating your expertise!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, if you have any questions, feel free to reach out to Chelsea Hackett directly at chelsea.hackett@searchability.com.
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:We want to see your technical prowess! Include specific examples of how you've used Python, SQL, and other tools mentioned in the job description. This will help us understand your hands-on experience and problem-solving abilities.
Apply Through Our Website:Don’t forget to apply through our website! It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at LinkedIn
✨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 pipelines, as well as Delta Lake and Medallion Architecture. Being able to discuss these technologies confidently will show that you're the right fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects and how you overcame them. Use examples that highlight your ability to optimise data pipelines and implement CI/CD processes. This will demonstrate your practical experience and critical thinking skills.
✨Understand the Business Impact
Be ready to explain how your work as a Data Engineer contributes to business intelligence and decision-making. Think about how high-quality data supports various teams like product and finance, and be prepared to share insights on how you can add value to the organisation.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data ecosystem and future projects. Inquire about their approach to data governance and security standards. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
