Data Engineer in Manchester

Data Engineer in Manchester

Manchester Full-Time 36000 - 60000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Build data solutions and help clients unlock the power of their data.
  • Company: Dufrain, a leading data consultancy with a focus on innovation.
  • Benefits: Hybrid working, personal development investment, and a supportive culture.
  • Other info: Exciting opportunities for growth and a commitment to diversity.
  • Why this job: Join a dynamic team and make a real impact in the data world.
  • Qualifications: Experience in data engineering and strong skills in Azure, Python, and SQL.

The predicted salary is between 36000 - 60000 £ per year.

Dufrain is a pure-play data consultancy specialising in helping businesses unlock the true value of their data by providing market-leading data solutions and services which includes developing strategies for AI readiness, improving data literacy and culture, enhancing real-time reporting, and managing data from mergers and acquisitions. Our Data Engineers provide expertise, guidance, and strategic advice to clients in order to help them effectively leverage their data assets for making informed decisions and achieving their business objectives. This role is UK-based (Edinburgh, Manchester, or London) with hybrid working. Occasional on-site attendance at client locations as required.

Responsibilities

  • Develop good working relationships with clients on a project including interpersonal skills with both business and technical focused colleagues.
  • Experience working as a data engineer to develop performant end-to-end solutions in a collaborative team environment.
  • Delivering high-quality pieces of work, proven ability to elevate problems to client / senior team members where necessary and propose possible solutions.
  • Support building the Consulting practice through contribution to ongoing initiatives. This can include contributing to knowledge-sharing activities, and data services.

Essential Technical Skills and Experience

  • Strong experience designing and delivering data solutions on Azure.
  • Excellent working knowledge of Python, Apache Spark, and SQL.
  • Broad data engineering skillset; with preference in either Microsoft Fabric, Databricks or Snowflake.
  • Proven delivery of multiple solutions using Data Governance, Data Migration, Data Modeling, ETL/ELT, Data Lakes, Data Warehousing, Master Data Management and BI.
  • Solid understanding of engineering delivery processes: Agile & DevOps, Git, APIs, containers, microservices, and data pipelines.

Highly Desirable Skills and Experience

  • Experience with one or more of Databricks, Snowflake, Azure Data Factory, Azure Synapse, or Microsoft SQL/SSIS.
  • Hands-on experience building data pipeline(s) using Azure Data Factory, Pipelines, Notebooks, and Dataflows Gen2.
  • Good working knowledge of Lakehouse components: Delta Lake, Unity Catalog/One Lake, ML Flow, Databricks Asset Bundles, Fabric CICD, Real Time Analytics/Structured Streaming, etc.

Desirable Certifications

  • Microsoft DP-600 or DP-700.

You Will Have

  • The drive to meet tight deadlines and maintain high standards of delivery.
  • Confidence participating effectively in meetings with senior stakeholders.
  • A collaborative mindset—supporting, encouraging, and sharing knowledge across the team.
  • Self-starter habits; you work well under pressure with limited supervision.
  • A track record of accurate output and ownership of elements of project delivery.
  • Flexibility to work as part of an integrated team or independently as needed.
  • Awareness of relevant industry standards, regulations, and current developments.

You can expect guaranteed investment to your personal development. We have a working culture that rewards high performance and nurtures talent, while providing exciting opportunities and challenges to generate positive change for our clients. Applicants must have the right to work in the UK and not require sponsorship now or in the future. Visa sponsorship is not available. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, age, or any other status protected by law. All qualified applicants will receive consideration for employment without regard to these factors. We encourage applications from individuals of all backgrounds and experiences.

Data Engineer in Manchester employer: Dufrain

At Dufrain, we pride ourselves on being an exceptional employer that fosters a dynamic and collaborative work culture. As a Partner Sales Lead, you will benefit from guaranteed investment in your personal development, alongside exciting opportunities to drive meaningful change within the data and analytics landscape. Our commitment to nurturing talent and rewarding high performance ensures that you will thrive in an environment where building strategic partnerships is at the forefront of our accelerated growth strategy.

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Contact Details:

Dufrain Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer in Manchester

✨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 Dufrain!

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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 Dufrain.

✨Apply Directly through Our Website

When you find a suitable opening like Data Engineer at Dufrain, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Engineer in Manchester

Data Engineering
Azure
Python
Apache Spark
SQL
Data Governance
Data Migration

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 Dufrain, 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 Dufrain. 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 Dufrain

✨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 Dufrain!

✨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.