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.

Job Summary

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.

Technical Skills

• ETL/ELT
• Git version control
• Writing complex SQL
• Python development
• Experience or familiarity with Meltano (or similar), AirFlow/Composer, BigQuery, Google Cloud is beneficial

Requirements

• We are looking for an individual with at least 2 years commercial work experience in a related field

Responsibilities

• Implement and manage data pipelines using cloud orchestration, ELT/ETL platforms and data warehouses
• Collaborate with internal and client teams to uncover opportunities to make data work harder for our clients’ marketing/advertising operations
• Play a proactive part in client project delivery and project management, meeting deadlines
• Contribute to Impression’s marketing efforts through written content, webinars and/or speaking at events
• Deliver timely and effective client and team communications, in accordance with client promise
• Plans tasks using project management software and uses this to delegate through the team according to resources available
• Works collaboratively or autonomously alongside client success and their expectations to meet client satisfaction targets
• Following internal people processes and ensuring full compliance with and knowledge of internal policies
• Demonstrate a curiosity in AI and machine learning and where relevant, bring this into the technology solutions
• Support the broader Solutions team in areas of work such as Business Intelligence dash boarding, digital analytics and data science.

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.

What Makes Us Different

• Flexible, hybrid working options
• 4.5 day working week
• Private medical insurance with access to EAP
• Impression funded specialist therapy sessions, up to 6 sessions where Impression funds 50% of the cost
• Enhanced sick pay
• Access to OpenUp, a virtual therapy platform
• Enhanced parental leave
• 28 days annual leave, plus bank holiday
• Life leave – when something unexpected happens in your life and you need some paid leave
• Pregnancy loss and parental bereavement leave
• Compassionate leave
• Eye-care vouchers
• Opportunity to save on and spread the cost of new tech through Techscheme
• Travel to work scheme
• Railcard salary sacrifice scheme
• Budget for books, tools and software
• A full social calendar
• Summer and Christmas party (off-site)
• Chance to attend national and international conferences
• Top Apple equipment to use at work
• Savings on bikes and accessories through Cyclescheme
• Contributory pension scheme

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.