At a Glance
- Tasks: Design and build data pipelines using AWS technologies for innovative projects.
- Company: Join a leading consulting firm with a focus on digital and data solutions.
- Benefits: Enjoy flexible working, competitive salary, health perks, and professional development opportunities.
- Other info: Hybrid work model with a supportive culture that values diversity and inclusion.
- Why this job: Make an impact by solving complex challenges in a collaborative tech community.
- Qualifications: Experience in data engineering, AWS, SQL, and strong problem-solving skills required.
The predicted salary is between 50000 - 70000 £ per year.
As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists with deep expertise in various sectors.
Join our Digital & Data team working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust-based, inclusive environment that values excellence, innovation, and curiosity.
Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same. Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring. Deepen your expertise through our culture of learning and growth - you'll have budget to take courses (technical and non-technical training), plus gain certifications.
Our tech stack: While we advocate for using the right tech for the right task, you can expect to work with the following technologies: AWS is a significant growth area for us with a diverse and growing capability. We 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. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. Work to agile best practices and cross-functionally with multiple teams and stakeholders.
Qualifications:
- You thrive in problem-solving and analytical thinking.
- You enjoy collaborating with multiple stakeholders in a fast-paced environment.
- 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.
- 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.
Please be aware that some of our UK roles at PA Consulting require a UK security clearance. We therefore ask that you only apply if you meet the residency requirements (i.e. you are a British citizen or have been resident in the UK for the past 5 years).
Life At PA: encompasses our peoples' experiences about how we enrich working lives by giving access to unique people and growth opportunities and purpose-led meaningful work. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people.
We are dedicated to supporting the physical, emotional, social and financial well-being of our people, offering health and lifestyle perks, annual leave, a generous company pension scheme, and opportunities to get involved with community and charity-based initiatives.
We're committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions.
Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, please contact us.
Data Engineer (AWS, SQL) in Belfast employer: PA Consulting
At PA Consulting, we pride ourselves on being an exceptional employer that fosters a culture of innovation, collaboration, and continuous learning. Our Digital & Data community offers a flexible hybrid working environment, competitive benefits including private healthcare and generous annual leave, and ample opportunities for professional growth through training and mentorship. Join us to work on diverse projects across various sectors, all while contributing to meaningful solutions that tackle complex challenges.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (AWS, SQL) in Belfast
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like PA Consulting!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like PA Consulting.
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We think you need these skills to ace Data Engineer (AWS, SQL) in Belfast
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 PA Consulting, 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 PA Consulting. 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 PA Consulting
✨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 PA Consulting!
✨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.
