Enable job alerts via email!
A leading digital marketing agency in the UK seeks a Data Specialist to work with marketing data. This role involves implementing data pipelines and collaborating with teams to enhance data-driven marketing strategies. Candidates should have at least 2 years of experience in a related field, with proficiency in SQL and Python. The position offers a competitive salary of £28,600 and benefits like flexible working, private medical insurance, and enhanced parental leave.
Impression is a multi-award winning, high growth digital marketing agency based in Nottingham, London and Manchester. Our agency wouldn’t be what it is today without our incredible people. Our diverse team encompasses expertise across the digital landscape which enables us to accelerate change and results, driving business growth faster.
We’re looking for a Data Specialist (“Junior Marketing Data Engineer”) to help further our growth, through working primarily with customer and performance marketing data in data pipelines (primarily in Python, using Airflow & Dataform) and data warehouses (primarily in BigQuery). Experience in SQL and Python is required. JavaScript experience is beneficial.
The Data Engineer role is a specialised role designed for those who can lead on client and internal projects with limited support. The individual is expected to contribute specialist knowledge and capability to client work, Impression’s marketing contributions, and our internal training programme, to ensure that this knowledge is shared with colleagues.
We offer a competitive salary of £28,600 DOE and a range of benefits, including flexible, hybrid working options, 4.5 day working week, private medical insurance, and enhanced parental leave.
Diversity, Equity & Inclusion: We’re committed to embracing diversity and promoting equal opportunities, both within our teams and through the services we provide. We pledge to promote equal opportunities and, as per the Equality Act 2010, will not tolerate discrimination on the grounds of: gender, gender identity, marital status, sexual orientation, race, colour, nationality, religion, age, disability, caring responsibilities or beliefs.