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Data Engineer & Analytics Lead

Neosurf

Woking

On-site

GBP 50,000 - 90,000

16 days ago

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Job summary

An innovative firm is seeking a passionate Data Engineer & Analytics Lead to enhance their data strategy. This role involves building and optimizing data infrastructure, designing data pipelines, and leading a team of data professionals. You'll be at the forefront of data-driven decision-making, creating insightful visualizations, and collaborating with cross-functional teams. If you have a knack for solving complex problems and a passion for data quality, this is a fantastic opportunity to make a real impact in the online payments sector. Join a dynamic team and help shape the future of data at this forward-thinking company!

Benefits

Competitive salary and benefits package

Dynamic and innovative work environment

Opportunities for professional growth

Supportive and collaborative team culture

Flexible working arrangements

Company pension scheme

Private medical insurance

Regular social events and team-building activities

Qualifications

  • Proven experience in data engineering and analytics with a focus on data life cycle.
  • Strong expertise in data warehousing, particularly with Snowflake.

Responsibilities

  • Design and maintain data warehouse and ETL processes for seamless integration.
  • Lead and mentor a team of data professionals while ensuring data quality.

Skills

Data Engineering

Data Analysis

SQL

Python

Data Warehousing

ETL Processes

Data Visualisation

Leadership

Communication Skills

Machine Learning

Education

Bachelor's Degree in Computer Science or related field

Tools

Snowflake

Power BI

Tableau

Salesforce

Job description

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Neosurf is on the lookout for a passionate and highly skilled Data Engineer & Analytics Lead to join our growing team! This is an exciting opportunity to revolutionise how we use data to drive business decisions, enhance user experiences, and stay ahead in the fast-paced world of online payments. If you’re a data whizz with a knack for leadership, a love for solving complex problems, and a desire to make a real impact, this role is for you!

The Role

As our Data Engineer & Analytics Lead, you'll be the driving force behind our data strategy, responsible for building, optimising, and leading our data infrastructure. You will be instrumental in designing and implementing data pipelines, developing insightful visualisations, and mentoring a team of data professionals. This is a hands-on role that requires both technical expertise and leadership skills, as well as someone who's not afraid to roll up their sleeves and delve into the details. You will have the autonomy to recommend and lead improvements to our data systems, processes and to champion best practices across the business.

You'll spend your time:

  • Designing, building, and maintaining our data warehouse (Snowflake).
  • Developing and optimising ETL processes for seamless data integration.
  • Creating compelling data visualisations and dashboards using Power BI.
  • Performing in-depth data analysis to uncover actionable insights and identify opportunities for growth and improvement.
  • Leading and mentoring a team of data analysts, fostering a culture of collaboration and continuous learning.
  • Identifying and implementing process improvements through automation of data pipelines.
  • Ensuring data quality and integrity across all systems.
  • Collaborating with cross-functional teams (product, marketing, finance) to understand their data needs and provide tailored solutions.
  • Staying up-to-date with the latest trends and technologies in data engineering and analytics.
  • Exploring the application of machine learning techniques to solve business challenges.
  • Being a champion for data-driven decision-making across the company.

Key Skills & Experience

  • Proven experience as a Data Engineer and Analyst, with a strong understanding of the full data life cycle.
  • Deep expertise in data warehousing concepts and technologies, particularly Snowflake.
  • Expertise in SQL, Python and other data manipulation and scripting languages.
  • Excellent data visualisation skills, with experience using Power BI or Tableau.
  • CRM skills experience, preferably Salesforce.
  • Strong understanding of ETL processes and data transformation techniques.
  • Solid experience in data analysis, with the ability to extract actionable insights from complex datasets.
  • Experience in leading and coaching a team of data professionals.
  • A passion for data quality, accuracy and attention to detail.
  • Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical audiences.
  • Experience in identifying and implementing process improvements through automation.
  • Experience in the payments, regulatory or financial industry.
  • Familiarity with machine learning techniques and tools.
  • Knowledge of data governance principles and practices.
  • Understanding of marketing analytics techniques, such as segmentation and funnel analysis.

What We Offer

  • A competitive salary and benefits package.
  • A dynamic and innovative work environment.
  • Opportunities for professional growth and development.
  • The chance to work on exciting projects that make a real impact.
  • A supportive and collaborative team culture.
  • Flexible working arrangements.
  • Company pension scheme.
  • Private medical insurance and additional well-being scheme.
  • Regular social events and team-building activities.

Diversity and Equality Employment

At Neosurf, we embrace diversity and foster a work environment built on mutual respect. As an equal opportunity employer, we value individuals from all walks of life, regardless of race, colour, religion, national origin, age, gender identity or expression, or any other protected characteristic.

Please complete the questions, provide a copy of your CV and a cover letter outlining your relevant experience and why you're the perfect fit for this role.

We look forward to hearing from you.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

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