At a Glance
- Tasks: Transform data into actionable insights and support our data infrastructure.
- Company: Join a dynamic, innovative tech company focused on data-driven solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and career advancement.
- Why this job: Make a real impact by designing and delivering cutting-edge data solutions.
- Qualifications: Degree in a related field or equivalent experience in data engineering.
The predicted salary is between 50000 - 60000 £ per year.
The Everything Managed Group is a dynamic, innovative and technology driven business committed to leveraging data-driven insights to optimise operations and drive strategic decision-making. We are now seeking a talented Data Engineer to play a significant part in the design, delivery and ongoing evolution of the EMG data platform.
As a Data Engineer, you will play a critical role in transforming data into actionable insights and supporting our data infrastructure. You will collaborate with cross-functional teams to gather requirements, design data pipelines and transformations, and develop analytical solutions to address business challenges.
Responsibilities:
- Collaborate with cross-functional teams, including system administrators, developers/engineers, external partners, and business stakeholders, to understand requirements and deliver solutions.
- Design, build and maintain scalable data pipelines to ingest, process and transform structured and unstructured data from diverse sources.
- Optimise solutions for performance, reliability, and scalability, ensuring efficient data processing and storage.
- Perform exploratory profiling and validation on new data sources to assess quality, structure and fitness for purpose prior to pipeline development.
- Implement and manage orchestration workflows to automate data pipeline scheduling, monitoring and error handling.
- Design and implement data quality and consistency schemes to ensure the integrity and consistency of data, management information and reporting.
- Design and implement well-structured optimised data models that enable accurate, performant reporting and analysis by downstream stakeholders both within the team and across the wider organisation.
- Ensure the data platform is fully documented, maintaining up-to-date information requirements, data models, data dictionaries, and ETL mappings.
- Provide ad-hoc deep dive analysis, reporting requests and management information to business users.
- Communicate technical concepts and findings to non-technical audiences in a clear and understandable manner.
- Provide training and support to others, sharing best practices and fostering a culture of continuous learning.
- Plan and prioritise work to ensure on-time delivery of tasks.
Skills and Experience:
- Degree in Mathematics, Statistics, Computer Science, Engineering or a related field or equivalent practical experience in a data engineering role.
- Ideally experienced as a Data Engineer with hands-on experience designing and delivering data pipelines using industry-standard tools and cloud technologies.
- Knowledge of data engineering concepts, data pipeline development, ETL processes, data lake and data warehousing technologies.
- Proficiency in working with at least one major cloud data platform or lakehouse technology.
- Data modelling skills (including 3NF and dimensional modelling).
- Good knowledge of relational database technologies and concepts.
- Excellent analytical and problem-solving skills with a keen attention to detail.
- Good verbal and written communication skills with the ability to collaborate across teams and present findings to stakeholders.
- Experience with data transformation and/or distributed processing concepts, technologies and best practices is a benefit.
- Proficiency in Python for data engineering tasks (e.g. pipeline scripting, data transformation, automation).
- Experience using version control (Git) and familiarity with CI/CD practices for data engineering workflows.
- Ability to work both independently and collaboratively in a dynamic environment.
- Strong customer focus and stakeholder skills.
- Ability to prioritise tasks and work effectively in a fast-paced environment.
Data Engineer in Newcastle upon Tyne employer: Waste Managed Ltd
The Everything Managed Group is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for Data Engineers to thrive. With a commitment to employee growth, we offer extensive training opportunities and a supportive environment that encourages continuous learning. Located in a vibrant area, our team enjoys a dynamic work atmosphere that values data-driven insights and strategic decision-making, ensuring that every team member plays a vital role in shaping the future of our data platform.
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We think this is how you could land Data Engineer in Newcastle upon Tyne
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We think you need these skills to ace Data Engineer in Newcastle upon Tyne
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!
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Craft a Tailored Cover Letter:For a full-time role at Waste Managed Ltd, 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 Waste Managed Ltd. 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 Waste Managed Ltd
✨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!
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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 Waste Managed Ltd!
✨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.
