Senior Data Analytics Engineer - Marketing(Contractor)
ABOUT TIDE
At Tide, we are building a business management platform designed to save small businesses time and money. We provide our members with business accounts and related banking services, but also a comprehensive set of connected administrative solutions from invoicing to accounting.
Launched in 2017, Tide is now used by over 1 million small businesses across the world and is available to UK, Indian and German SMEs. Headquartered in central London, with offices in Sofia, Hyderabad, Delhi, Berlin and Belgrade, Tide employs over 2,000 employees.
Tide is rapidly growing, expanding into new products and markets and always looking for passionate and driven people. Join us in our mission to empower small businesses and help them save time and money.
ABOUT THE ROLE:
We are seeking a highly skilled and experienced Data Analytics Engineer to join our growing team. As part of the team, you will be responsible for building and running the data pipelines and services that are required to support marketing and business functions, reporting and decision-making.
We are heavily dependent on BigQuery/Snowflake, Airflow, Stitch/Fivetran, dbt , Tableau/Looker for our business intelligence and embrace AWS with some GCP.
ABOUT THE ROLE:
As a Data Engineer you’ll be:
- Developing end to end ETL/ELT Pipeline working with Data Analysts of business Function.
- Designing, developing, and implementing scalable, automated processes for data extraction, processing, and analysis in a Data Mesh architecture
- Translating business requirements into technical requirements, such as entities that need to be modelled, DBT models that need to be built, timings, tests and reports
- Ability to provide on the ground troubleshooting and diagnosis to architecture and design challenges and resolving technical issues as they arise
- Looking for ways of improving both what and how data pipelines are delivered by the department
- Owning the delivery of data models and reports end to end
- Perform exploratory data analysis in order to identify data quality issues early in the process and implement tests to ensure prevent them in the future
- Working with Data Analysts to ensure that all data feeds are optimised and available at the required times. This can include Change Capture, Change Data Control and other “delta loading” approaches
- Discovering, transforming, testing, deploying and documenting data sources
- Applying, help defining, and championing data warehouse governance: data quality, testing, coding best practices, and peer review
- Building Looker Dashboard for use cases if required
WHAT WE ARE LOOKING FOR:
- You have 6+ years of extensive development experience using snowflake or similar data warehouse technology
- You have working experience with dbt and other technologies of the modern data stack, such as Snowflake, Apache Airflow, Fivetran, AWS, git ,Looker
- You have experience in agile processes, such as SCRUM
- You have extensive experience in writing advanced SQL statements and performance tuning them
- You have experience in Data Ingestion techniques using custom or SAAS tool like fivetran
- You have experience in data modelling and can optimise existing/new data models
- You have experience in data mining, data warehouse solutions, and ETL, and using databases in a business environment with large-scale, complex datasets
- You have experience in architecting analytical databases (in Data Mesh architecture) is added advantage
- You have experience working in agile cross-functional delivery team
- You have high development standards, especially for code quality, code reviews, unit testing, continuous integration and deployment
- You have strong technical documentation skills and the ability to be clear and precise with business users
- You have business-level of English and good communication skills
- You have basic understanding of various systems across the AWS platform ( Good to have )
- Preferably, you have worked in a digitally native company, ideally fintech
- Experience with python, governance tool (e.g. Atlan, Alation, Collibra) or data quality tool (e.g. Great Expectations, Monte Carlo, Soda) will be added advantage
- Experience with marketing attribution and Media Mix Modelling is an advantage
- Experience working with regulated industries is a significant advantage.
OUR TECH STACK:
- DBT
- Snowflake
- Airflow
- Fivetran
- SQL
- Looker
TIDEAN WAYS OF WORKING:
At Tide, we champion a flexible workplace model thatsupports both in-person and remote work to cater to the specific needs of our different teams.
While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.
TIDE IS A PLACE FOR EVERYONE
At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.
We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.
At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.
You personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.
Originally posted on Himalayas
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