At a Glance
- Tasks: Lead data engineering projects, optimise data pipelines, and mentor junior engineers.
- Company: Join a leading firm known for innovation and collaboration in data solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to work on exciting projects and develop your skills.
- Why this job: Make a real impact by transforming data into actionable insights and leading a talented team.
- Qualifications: Experience in data analytics, programming, and database management; degree preferred.
The predicted salary is between 70000 - 90000 £ per year.
Provides expert level data solutions by using software to process, store, and serve data to others. Tests data quality and optimizes data availability. Ensures that data pipelines are scalable, repeatable, and secure. Utilizes the deepest dive analytical skillset on a variety of internal and external data. Leads, instructs, and mentors newer Data Engineering crew.
Core Responsibilities
- Writes ETL (Extract / Transform / Load) processes, designs database systems and develops tools for real-time and offline analytic processing.
- Troubleshoots software and processes for data consistency and integrity.
- Integrates complex and large scale data from a variety of sources for business partners to generate insight and make decisions.
- Translates business specifications into design specifications and code.
- Responsible for writing complex programs, ad hoc queries, and reports.
- Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse.
- Partners with internal clients to gain an expert understanding of business functions and informational needs.
- Works closely with other technical and data analytics experts across the business to implement data solutions.
- Leads all phases of solution development.
- Explains technical considerations at related meetings, including those with internal clients and less experienced team members.
- Assesses data quality and tests code thoroughly for accuracy of intended purpose.
- Provides data analysis guidance and serves as a technical consultant for the client.
- Educates and develops junior data engineers on the team while applying quality control to their work.
- Develops data engineering standards and contributes expertise to other data expert teams across Vanguard.
- Tests and implements new software releases through regression testing.
- Identifies issues and engages with vendors to resolve and elevate software into production.
- Participates in special projects and performs other duties as assigned.
Qualifications
- Data analytics, programming, database administration, or data management experience.
- Undergraduate degree or equivalent combination of training and experience.
- Graduate degree preferred.
Data Engineering Technical Lead in Manchester employer: Dormont Manufacturing Co
At Vanguard, we pride ourselves on being an exceptional employer, offering a collaborative work culture that fosters innovation and professional growth. As a Data Engineering Technical Lead, you will not only lead a talented team but also have access to extensive training opportunities and resources to enhance your skills in a dynamic environment. Located in a vibrant area, our office provides a supportive atmosphere where your contributions are valued, and you can make a meaningful impact on data solutions that drive business success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Technical Lead in Manchester
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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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Dormont Manufacturing Co. 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 Dormont Manufacturing Co
✨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 Dormont Manufacturing Co!
✨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.
