Description Your Career, Your Danske Bank……You’re Danske Bank Your role: Senior Analytics Engineer Why you’ll want to work with us: At Danske Bank we’re driven by a clear purpose to help customers, colleagues and society thrive. We believe what we do genuinely makes a difference. That includes investing in our people, ensuring everyone feels that they belong and being there for the moments that matter. Danske Bank recognises the power that comes with diversity of thought and perspective, it makes us stronger as a business and creates a true sense of belonging for our colleagues. To be the best we can be, we depend on diverse thinking, beliefs, experiences, and backgrounds. We have a clear purpose – Helping our Customers, Colleagues & Society thrive - and our Diversity and Inclusion Strategy is central to that. We recognise that everyone does not have an equitable starting point, and, by focusing on ‘equality’, we are making sure that everyone has an equal opportunity to reach their full potential. Our customers come from all walks of life, and so should our colleagues. Driving sustainability is a key strategic priority for us. We’d proud to have achieved Platinum Level in the 2022 Northern Ireland Environmental Benchmarking Survey and we’re working hard to help our customers go green. We’re passionate about giving back to the communities in which we live and work. There are lots of ways you can get involved, such as fundraising for our charity partner, visiting schools to teach young people about money and budgeting, volunteering with a local food bank, planting trees, and so much more. No wonder we are recognised by Best Companies as Northern Ireland’s number one best company to work for. So, if you share our values and enthusiasm and all of what we stand for resonates with you, then you will find a home at Danske Bank. Your benefits: There’s much more to working at Danske Bank than just a salary but for this role we are offering a competitive salary. We want to be a workplace in which our colleagues can succeed and feel empowered through all stages of their career and life. We also offer an attractive range of flexible benefits centred on wellness, financial, psychological, physical and social. Everyone’s circumstances are different and our benefits can be tailored to your needs. For example, if you want to buy more holidays or need to avail of medical treatment, then we have a range of benefits for you. And if you want to make your money go further, our Danske Discounts offering is just for you. With non-stop discounts, this is the perfect perk for all colleagues. If the gym is of interest to you can avail of savings on gym membership and where eligible, we offer a salary sacrifice car benefit. What would a typical day look like for you? You’ll work as a Senior Analytics Engineer in our Data & Analytics Team within our Technology & Digital Development team which is core to our innovative digital transformation journey and delivery of the corporate strategy objectives. You’ll lead the technical development and execution of a wide range of strategic data analytics projects that are complicated in nature and require specialist analytics skills. The role involves modelling complex, undocumented data structures to produce high quality insights to drive business value and leading small development teams to execute projects. With this role it’s key to have continual, proactive learning as new technologies and techniques become available in the market. You’ll need to stay informed about emerging AI technologies that can enhance and improve our business operations within your key fields of responsibility. Your skills: Your areas of knowledge and expertise that matter most for this role: A significant level of hands on experience as an Analytics Engineer with strong knowledge in designing, developing, and delivering end-to-end data analytics projects. Ability to design reusable and sustainable data models that produce key strategic business insights. SME level knowledge of at least 2 BI analytical applications (Tableau, Alteryx, QlikSense, SSRS etc.) Experience of design, development and deployment of data warehouses or relational/analytical/multi-dimensional data marts. Excellent planning and organising skills with ability to work to tight deadlines. Strong service delivery ethic with a focus on quality, competency and accuracy. Excellent communicator who is able to translate and adapt message for different stakeholder groups including technical and non-technical audiences. Ability to think logically, a high level of numeracy and the ability to interpret data. Preferred: 3 rd Level degree in IT or related STEM discipline Good working knowledge of Python Experience with Hadoop and Spark Working experience with IBM DataStage Knowledge of cloud technologies such as AWS, data bricks, snowflake How we work Our belief is that we are “ Better when Together ” and want to balance the benefits of teaming up in person with flexible working where possible. We will be supportive and flexible to your circumstances, so for roles that offer a hybrid option we ask colleagues to attend their base location a minimum of 3 days a week so they can connect, collaborate and learn together. The other 2 days can be worked either from home or another bank location. Some of our roles are customer facing which means that it’s really important to be able to work with customers face to face and hybrid working isn’t appropriate. If this sounds good to you, we’d love to hear from you. Apply by uploading your CV ensuring you have included enough detail to clearly demonstrate how you meet our criteria. Good luck If you have a disability, long term health condition or additional need that requires accommodation or adjustments during any stage of the recruitment process, please advise us of this on your CV & a member of the team will be in touch to discuss Each one of us is different, and at Danske Bank we value and respect individual differences. Danske Bank is proud to be an equal opportunity workplace. That means that, as a committed equal opportunities employer, we welcome applications from all suitably qualified candidates regardless of (but not limited to); gender, ethnicity, background, nationality, generation, age, working style, religious background, sexual orientation, gender identity, gender expression and cognitive diversity.