At a Glance
- Tasks: Design and deliver scalable data solutions using Java and SQL.
- Company: Join a forward-thinking company making a difference in society.
- Benefits: Enjoy 25 days off, wellness support, and professional development opportunities.
- Other info: Collaborative environment with strong leadership and excellent career growth.
- Why this job: Be part of exciting projects that impact society while growing your skills.
- Qualifications: 5+ years of Java experience and advanced SQL skills required.
The predicted salary is between 60750 - 74250 £ per year.
We are seeking a Senior Data Engineer with strong SQL and Java expertise to design and deliver scalable data solutions.
In this role, you will leverage Java's robustness and Scala's functional data-processing power to build scalable pipelines, manage distributed big data frameworks, and optimize our data platform.
Location
3days/w onsite in Glasgow
Key Responsibilities
- Design, develop, and maintain scalable data pipelines to support data integration, transformation, and analytics requirements.
- Write efficient, high-performance SQL queries, stored procedures, and data transformation logic.
- Build and maintain backend data processing applications using Java.
- Develop scalable APIs and microservices architectures.
- Work with batch and near real-time data processing frameworks to deliver reliable data solutions.
- Optimise data models, database performance, and query execution.
- Collaborate with data architects, analysts, and business stakeholders to translate requirements into scalable data solutions.
- Implement automated testing, monitoring, and data quality controls across the data platform.
Essential Skills & Experience
- Java: 5+ years of professional experience with Java (Version 11 or higher preferred).
- Advanced SQL skills with experience in performance tuning, data modelling, and complex query development.
- Strong Java development experience, including object-oriented design and enterprise application development.
- Experience designing and developing ETL/ELT pipelines.
- Experience working with relational databases such as Postgre SQL, SQL Server, Oracle, or My SQL.
- Understanding of data warehousing concepts and dimensional modelling.
- Experience with version control systems such as Git.
- Knowledge of cloud-based data platforms and modern data engineering practices.
Desirable Skills
- Experience with Scala development.
- Experience with Apache Spark or other distributed data processing frameworks.
- Experience with Kafka, Event Hubs, or other streaming technologies.
- Exposure to cloud platforms such as Azure, AWS, or GCP.
- Experience with CI/CD pipelines and Dev Ops practices.
- Familiarity with data lake and lakehouse architectures.
- Experience in banking or financial services industry
Benefits
- By joining us you can expect
- Autonomy to develop and grow your skills and experience
- Be part of exciting project work that is making a difference in society
- Strong, inspiring and thought-provoking leadership
- A supportive and collaborative environment
As well as this, we offer
- Development access to Linked In Learning, a management development programme and training
- Wellness 24/7 Confidential employee assistance programme
- Social - Breakfast Tuesdays, Thirsty Thursdays and Pizza on the last Thursday of each month as well as commitment to charitable causes
- Time off 25 days a year; plus the opportunity to purchase extra leave per year
- Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution
- Life Assurance of 4 times base salary
- Private Medical Insurance which is non-contributory (spouse and dependants included)
- Worldwide Travel Insurance which is non-contributory (spouse and dependants included)
- #J-18808-Ljbffr
Senior Data engineer (Java/SQL) in Glasgow employer: Methods
Methods is an exceptional employer, offering a dynamic and supportive work culture that prioritises collaboration and innovation. With a strong focus on employee development through access to training and wellness programmes, team members are empowered to grow their skills while contributing to meaningful projects that positively impact society. The hybrid working model and commitment to work-life balance further enhance the appeal of joining this forward-thinking consultancy.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data engineer (Java/SQL) in Glasgow
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Data engineer (Java/SQL) in Glasgow
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Methods, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Methods. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Methods
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Methods!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
