Data Analytics Developer in London

Data Analytics Developer in London

London Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
Peermusic

At a Glance

  • Tasks: Design and develop data pipelines, reports, and dashboards using cutting-edge technologies.
  • Company: Join peermusic, the world's largest independent music publishing company with a global presence.
  • Benefits: Flexible work-from-home options, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic environment with a focus on personal development and teamwork.
  • Why this job: Work with exciting datasets and innovative tools in a collaborative tech team.
  • Qualifications: Experience in data engineering, SQL, and Python required; passion for learning is a must.

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

peermusic is the world’s largest independent music publishing and neighbouring rights administration company, operating from 39 offices in 31 countries. We publish or administrate millions of songs and recordings for thousands of clients around the globe, and we process billions of statement lines to make sure we collect and pay the royalties due to our clients.

The Data Analytics Developer role sits within the Global Tech team, which develops and maintains the core business applications and websites used by peermusic’s operational staff - including the “Data Studio”, our cloud data lakehouse in Databricks which ingests data from a range of internal and external sources, and a range of business intelligence and analytics tools in Sigma Computing. The Data Analytics Developer role has responsibility for design, development, and maintenance of data pipelines in the Data Studio, and the design and development of reports and dashboards using Sigma Computing and other solutions. This role provides a great opportunity to work with some leading data technologies and interesting datasets within a great team.

This job description sets out the main areas and duties for the role. However, the company is always evolving, and the role’s responsibilities and activities may develop and change over time.

Your Responsibilities

  • Design/develop/test/document data pipelines to integrate data from various sources into the data lake, and to transform data within the warehouse.
  • Prepare automated tests to ensure that data pipelines are working as designed, and that data quality is as expected.
  • Assist in the design and implementation data warehouse models and marts to structure data for analysis purposes.
  • Assist in monitoring and troubleshooting the data lakehouse processes to ensure smooth operation and performance.
  • Develop, test, and maintain Sigma reports and dashboards per user requests.
  • Provide data extracts and basic analyses on an ad hoc basis for non-technical users.
  • Collaborate with a globally-distributed team of developers, analysts, and power users to help peermusic get the most out of our data.

What you bring to the position:

Essential:

  • Experience of working in data engineering or similar role, implementing data pipelines, integrations, or ETL/ELT between a variety of types of sources and targets.
  • Software development background or experience are required.
  • SQL: Ability to query and manipulate data in relational databases is critical.
  • Python: Basic Python skills for data manipulation are required.
  • Microsoft Office suite: A high degree of proficiency in Excel is essential, and proficiency in other Office tools is beneficial.
  • Data Cleaning and Manipulation: Able to work with a variety of data formats (e.g. XML, JSON, CSV/TSV, etc.) to preprocess, clean, and transform raw data into usable formats for analysis.

Desirable:

  • Design: Experience of architecting data lake and warehouse structures, and modelling data for analysis purposes.
  • Data manipulation: Able to work with a variety of data formats (e.g. XML, JSON, CSV, Parquet, Avro, etc.) and perform basic analysis/manipulation.
  • PySpark: Proficiency in PySpark for processing in a distributed environment, is highly desirable.
  • Large data sets: Experience of working with multi-million or billion-row datasets, and the associated challenges and best practices.
  • Reporting/BI tools: Experience of using reporting/BI tools (e.g. Tableau, PowerBI, Sigma Computing, QlikView, etc.) to query data and prepare analytical reports is highly desirable.
  • Technologies: Experience of Databricks is particularly beneficial, as is experience of Sigma Computing.
  • Experience with Git and GitHub.
  • Music industry: Knowledge and experience of the music industry, in particular the publishing sector, is desirable but not essential.
  • Languages: In addition to English, any fluency in Spanish would be beneficial.

Who you are:

  • A learner; curious about how the business process as well as the technology and the data, wants to be exposed to new challenges and learn new skills, likes to research and learn, likes sharing knowledge with others.
  • Detail-oriented; thorough and meticulous, ensures high-quality, gets to the bottom of a problem, pays attention to the small details.
  • Reliable; does what they say they will, when they say they will.
  • Customer-oriented; approachable, responsive, provides a great user experience.

Location/Flexibility

  • Based from the peermusic London offices, in Richmond-on-Thames.
  • Flexibility for WFH 2 days/week, in coordination with other team members.

peermusic is proud to be an equal opportunity workplace. Incoming applications are only evaluated for their professional qualifications, regardless of race, skin colour, religion, gender, sexual identity, nationality, severe disability or age.

Data Analytics Developer in London employer: Peermusic

peermusic is an exceptional employer, offering a dynamic work environment in the heart of Richmond-on-Thames, where creativity meets technology. With a strong focus on employee growth, we provide opportunities to work with cutting-edge data technologies and collaborate with a globally-distributed team, all while enjoying a flexible work-from-home policy. Our commitment to diversity and inclusion ensures that every team member feels valued and empowered to contribute to our mission of delivering excellence in music publishing.

Peermusic

Contact Details:

Peermusic Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analytics Developer in London

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We think you need these skills to ace Data Analytics Developer in London

Data Pipeline Development
ETL/ELT Implementation
SQL
Python
Microsoft Excel
Data Cleaning and Manipulation
Data Warehouse Design

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 Peermusic. 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 Peermusic

Brush Up on Your Statistics

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Get Comfortable with Python and R

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Prepare for Case Studies

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