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- Tasks: Join our team to design and build innovative data solutions using cutting-edge technologies.
- Company: Be part of a global firm focused on innovation and positive change across various industries.
- Benefits: Enjoy flexible hybrid working, great salaries, annual bonuses, and comprehensive health insurance.
- Why this job: Work on transformative projects in a collaborative Agile environment with opportunities for growth.
- Qualifications: Experience in data pipelines, SQL, AWS, and familiarity with Agile methodologies required.
- Other info: Positions available from Junior to Lead levels in modern offices in Belfast.
The predicted salary is between 36000 - 60000 £ per year.
Our client is a global firm that thrives on innovation and creating positive change. They work with some of the biggest names across a range of thriving industries and offer fantastic growth opportunities. They are heavily investing in their data team here in Belfast - hiring from Junior right up to Lead positions, working on a hybrid basis from some of the city's newest and most modern offices.
As part of the clients Digital team, you’ll work alongside colleagues from across the company delivering transformative digital solutions to today’s most complex business challenges.
- Great salaries and annual bonus
- Flexible hybrid working options
- Private medical insurance, critical illness and life/income protection insurance
- Generous pension scheme
- Cutting-edge projects using AWS and other modern technologies
Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL.
Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc.
Ability to closely work with other engineering teams to integrate data engineering components into production systems.
Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks.
Ability to travel to client site, where required, will be a consideration.
Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native or custom programming.
Knowledge of data mining, machine learning, natural language processing is an advantage.
You enjoy working within cross-functional Agile teams and you are familiar with Scrum ceremonies.
You’ll be comfortable designing and building for the AWS cloud and will have designed and worked on architectures that include Platform-as-a-Service components and perhaps even server-less and container technologies.
AWS is a significant growth area for the client with a diverse and growing capability and they are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement.
There are a variety of different tools, cloud technologies and approaches and while they have a preference for AWS tooling experience, open-source equivalence will be suitable.
As a Data Engineer, you’ll have experience working in teams to design, build, and maintain large scale data solutions and applications using AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB.
Your team members will look to you as a trusted expert and will expect you to define the end-to-end software development lifecycle in line with modern AWS best practices.
Your AWS experience spans data engineering, data science and product development projects, plus you will have an understanding of stream and batch processing.
Data Engineer SQL - Hybrid Working employer: Adepta Partners
Contact Detail:
Adepta Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer SQL - Hybrid Working
✨Tip Number 1
Familiarise yourself with AWS services relevant to data engineering, such as EMR, Glue, and RedShift. Understanding these tools will not only help you in interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Engage with online communities or forums focused on data engineering and AWS technologies. Networking with professionals in the field can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Showcase your experience with big data architectures and production data pipelines in conversations. Be prepared to discuss specific projects where you've used Java, Python, or SQL, as this will highlight your practical skills.
✨Tip Number 4
Brush up on Agile methodologies and Scrum practices, as the role involves working within cross-functional teams. Being able to speak confidently about your experience in Agile environments will set you apart from other candidates.
We think you need these skills to ace Data Engineer SQL - Hybrid Working
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with SQL, AWS, and any programming languages mentioned like Java or Python. Use specific examples of projects you've worked on that align with the job description.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills in data pipelines, cloud technologies, and working within Agile teams make you a great fit for their innovative environment.
Showcase Relevant Projects: If you have worked on significant projects involving data cleaning, visualization, or machine learning, be sure to include these in your application. Highlight your role and the impact of your contributions.
Highlight Soft Skills: Don’t forget to mention your ability to work collaboratively in cross-functional teams and your familiarity with Scrum ceremonies. These soft skills are just as important as technical expertise in this role.
How to prepare for a job interview at Adepta Partners
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, AWS, and other relevant technologies. Bring examples of projects where you've designed and deployed data pipelines or worked with big data architectures, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Vision
Research the client’s focus on innovation and positive change. Be ready to explain how your skills and experiences align with their goals, particularly in delivering transformative digital solutions.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in previous roles, especially related to data cleaning, wrangling, and integration, and how you overcame them.
✨Demonstrate Team Collaboration
Since the role involves working within cross-functional Agile teams, be ready to discuss your experience in collaborative environments. Highlight your familiarity with Scrum ceremonies and how you’ve contributed to team success in past projects.
